Datasets:

MikolajZ
/

eks_data

@@ -4,14 +4,14 @@ task_categories:
 - image-to-3d
 ---
-# GENIE Dataset
-This repository contains the data and assets used in the paper [GENIE: Gaussian Encoding for Neural Radiance Fields Interactive Editing](https://huggingface.co/papers/2508.02831), which introduces a hybrid model for interactive editing of Neural Radiance Fields.
-[Project page](https://mikolajzielinski.github.io/genie.github.io/) | [Code](https://github.com/MikolajZielinski/genie)
 <p align="center">
-  <img src="https://github.com/MikolajZielinski/genie/raw/main/images/teaser.png" alt="GENIE Teaser Image" width="400"/>
 </p>
 # Dataset content
@@ -92,9 +92,9 @@ loaded_state = torch.load(load_path, map_location="cpu", weights_only=False)
 If you use our data, please cite:
 ```bibtex
-@misc{zielinski2025genie,
-  title     = {GENIE: Gaussian Encoding for Neural Radiance Fields Interactive Editing},
-  author    = {Miko\l{}aj Zieli\'{n}ski and Krzysztof Byrski and Tomasz Szczepanik and Przemys\l{}aw Spurek},
   year      = {2025},
   eprint    = {2508.02831},
   archivePrefix = {arXiv},

 - image-to-3d
 ---
+# EKS Dataset
+This repository contains the data and assets used in the paper [Affine-Equivariant Kernel Space Encoding for NeRF Editing](https://huggingface.co/papers/2508.02831), which introduces a hybrid model for interactive editing of Neural Radiance Fields.
+[Project page](https://mikolajzielinski.github.io/eks.github.io/) | [Code](https://github.com/MikolajZielinski/eks)
 <p align="center">
+  <img src="https://github.com/MikolajZielinski/eks/raw/main/images/teaser.png" alt="EKS Teaser Image" width="400"/>
 </p>
 # Dataset content
 If you use our data, please cite:
 ```bibtex
+@misc{zielinski2025eks,
+  title     = {Affine-Equivariant Kernel Space Encoding for NeRF Editing},
+  author    = {Miko\l{}aj Zieli\'{n}ski and Krzysztof Byrski and Tomasz Szczepanik and Dominik Belter and Przemys\l{}aw Spurek},
   year      = {2025},
   eprint    = {2508.02831},
   archivePrefix = {arXiv},

configs/bicycle.yml CHANGED Viewed

@@ -1,14 +1,14 @@
-!!python/object:gnerf.gnerf_trainer.GNeRFTrainerConfig
-_target: !!python/name:gnerf.gnerf_trainer.GNeRFTrainer ''
 data: &id004 !!python/object/apply:pathlib.PosixPath
 - data
 - 360_v2
 - bicycle
-denisification_interval: 100
-densification_start_step: 100
-densification_stop_step: 10000
 experiment_name: bicycle
-freeze_means_step: 10000
 gradient_accumulation_steps: {}
 load_checkpoint: null
 load_config: null
@@ -20,7 +20,7 @@ logging: !!python/object:nerfstudio.configs.base_config.LoggingConfig
   local_writer: !!python/object:nerfstudio.configs.base_config.LocalWriterConfig
     _target: !!python/name:nerfstudio.utils.writer.LocalWriter ''
     enable: true
-    max_log_size: 0
     stats_to_track: !!python/tuple
     - !!python/object/apply:nerfstudio.utils.writer.EventName
       - Train Iter (time)
@@ -37,7 +37,7 @@ logging: !!python/object:nerfstudio.configs.base_config.LoggingConfig
   max_buffer_size: 20
   profiler: basic
   relative_log_dir: !!python/object/apply:pathlib.PosixPath []
-  steps_per_log: 1
 machine: !!python/object:nerfstudio.configs.base_config.MachineConfig
   device_type: cuda
   dist_url: auto
@@ -45,8 +45,8 @@ machine: !!python/object:nerfstudio.configs.base_config.MachineConfig
   num_devices: 1
   num_machines: 1
   seed: 42
-max_num_iterations: 20000
-method_name: gnerf
 mixed_precision: false
 optimizers:
   fields:
@@ -56,10 +56,10 @@ optimizers:
       lr: 0.01
       max_norm: null
       weight_decay: 1.0e-06
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
-      _target: &id002 !!python/name:gnerf.utils.schedulers.ChainedScheduler ''
       gamma: 0.33
-      max_steps: 20000
       milestones: &id003 !!python/tuple
       - 0.5
       - 0.75
@@ -71,10 +71,10 @@ optimizers:
       lr: 0.001
       max_norm: null
       weight_decay: 0
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
-      max_steps: 20000
       milestones: *id003
   means:
     optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
@@ -83,28 +83,41 @@ optimizers:
       lr: 1.0e-05
       max_norm: null
       weight_decay: 0
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
-      max_steps: 20000
       milestones: *id003
 output_dir: !!python/object/apply:pathlib.PosixPath
 - outputs
-pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
-  _target: !!python/name:gnerf.gnerf_pipeline.GNeRFPipeline ''
   datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
     _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
     camera_optimizer: null
     camera_res_scale_factor: 1.0
     collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
     data: *id004
-    dataparser: !!python/object:nerfstudio.data.dataparsers.nerfstudio_dataparser.NerfstudioDataParserConfig
-      _target: !!python/name:nerfstudio.data.dataparsers.nerfstudio_dataparser.Nerfstudio ''
       auto_scale_poses: true
       center_method: poses
       data: !!python/object/apply:pathlib.PosixPath []
       depth_unit_scale_factor: 0.001
-      downscale_factor: 4
       eval_interval: 8
       eval_mode: fraction
       load_3D_points: true
@@ -115,9 +128,9 @@ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
       train_split_fraction: 0.9
     eval_image_indices: !!python/tuple
     - 0
-    eval_num_images_to_sample_from: -1
     eval_num_rays_per_batch: 4096
-    eval_num_times_to_repeat_images: -1
     images_on_gpu: false
     masks_on_gpu: false
     patch_size: 1
@@ -130,53 +143,55 @@ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
       max_num_iterations: 100
       num_rays_per_batch: 4096
       rejection_sample_mask: false
-    train_num_images_to_sample_from: -1
     train_num_rays_per_batch: 4096
-    train_num_times_to_repeat_images: -1
   max_num_samples_per_ray: 1024
-  model: !!python/object:gnerf.gnerf_model.GNeRFModelConfig
-    _target: !!python/name:gnerf.gnerf_model.GNeRFModel ''
-    alpha_thre: 0.0
-    appearance_embedding_dim: 32
     background_color: random
     collider_params: null
     cone_angle: 0.00390625
-    densify: true
     disable_scene_contraction: false
     enable_collider: false
     eval_num_rays_per_chunk: 8192
     far_plane: 1000.0
     grid_resolution: 128
-    knn_algorithm: !!python/object:gnerf.knn.knn_algorithms.OptixKNNConfig
-      _target: !!python/name:gnerf.knn.knn_algorithms.OptixKNN ''
-      chi_squared_radius: 2.0
       device: cuda
       n_neighbours: 16
     loss_coefficients:
       rgb_loss_coarse: 1.0
       rgb_loss_fine: 1.0
     max_gb: 20
-    near_plane: 0.0
     prompt: null
-    prune: true
-    render_step_size: 0.005
-    unfreeze_means: true
-    use_appearance_embedding: false
     use_gradient_scaling: true
-  target_num_samples: 262144
 project_name: nerfstudio-project
 prompt: null
 pruning_interval: 1000
 pruning_start_step: 1000
-pruning_stop_step: 15000
 relative_model_dir: !!python/object/apply:pathlib.PosixPath
 - nerfstudio_models
 save_only_latest_checkpoint: true
 steps_per_eval_all_images: 25000
 steps_per_eval_batch: 500
 steps_per_eval_image: 500
 steps_per_save: 100
-timestamp: test
 unfreeze_means_step: 500
 use_grad_scaler: false
 viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
@@ -187,7 +202,7 @@ viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
   make_share_url: false
   max_num_display_images: 512
   num_rays_per_chunk: 4096
-  quit_on_train_completion: false
   relative_log_filename: viewer_log_filename.txt
   websocket_host: 0.0.0.0
   websocket_port: null

+!!python/object:genie.genie_trainer.GenieTrainerConfig
+_target: !!python/name:genie.genie_trainer.GenieTrainer ''
 data: &id004 !!python/object/apply:pathlib.PosixPath
 - data
 - 360_v2
 - bicycle
+denisification_interval: 200
+densification_start_step: 1000
+densification_stop_step: 8000
 experiment_name: bicycle
+freeze_means_step: 15000
 gradient_accumulation_steps: {}
 load_checkpoint: null
 load_config: null
   local_writer: !!python/object:nerfstudio.configs.base_config.LocalWriterConfig
     _target: !!python/name:nerfstudio.utils.writer.LocalWriter ''
     enable: true
+    max_log_size: 10
     stats_to_track: !!python/tuple
     - !!python/object/apply:nerfstudio.utils.writer.EventName
       - Train Iter (time)
   max_buffer_size: 20
   profiler: basic
   relative_log_dir: !!python/object/apply:pathlib.PosixPath []
+  steps_per_log: 10
 machine: !!python/object:nerfstudio.configs.base_config.MachineConfig
   device_type: cuda
   dist_url: auto
   num_devices: 1
   num_machines: 1
   seed: 42
+max_num_iterations: 30000
+method_name: genie-real
 mixed_precision: false
 optimizers:
   fields:
       lr: 0.01
       max_norm: null
       weight_decay: 1.0e-06
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
+      _target: &id002 !!python/name:genie.utils.schedulers.ChainedScheduler ''
       gamma: 0.33
+      max_steps: 30000
       milestones: &id003 !!python/tuple
       - 0.5
       - 0.75
       lr: 0.001
       max_norm: null
       weight_decay: 0
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
+      max_steps: 30000
       milestones: *id003
   means:
     optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
       lr: 1.0e-05
       max_norm: null
       weight_decay: 0
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
+      max_steps: 30000
+      milestones: *id003
+  quats:
+    optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
+      _target: *id001
+      eps: 1.0e-15
+      lr: 0.001
+      max_norm: null
+      weight_decay: 0
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
+      _target: *id002
+      gamma: 0.33
+      max_steps: 30000
       milestones: *id003
 output_dir: !!python/object/apply:pathlib.PosixPath
 - outputs
+pipeline: !!python/object:genie.genie_pipeline.GeniePipelineConfig
+  _target: !!python/name:genie.genie_pipeline.GeniePipeline ''
   datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
     _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
+    cache_images_type: float32
     camera_optimizer: null
     camera_res_scale_factor: 1.0
     collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
     data: *id004
+    dataparser: !!python/object:genie.data.dataparsers.GenieNerfstudioDataParserConfig
+      _target: !!python/name:genie.data.dataparsers.GenieNerfstudio ''
       auto_scale_poses: true
       center_method: poses
       data: !!python/object/apply:pathlib.PosixPath []
       depth_unit_scale_factor: 0.001
+      downscale_factor: null
       eval_interval: 8
       eval_mode: fraction
       load_3D_points: true
       train_split_fraction: 0.9
     eval_image_indices: !!python/tuple
     - 0
+    eval_num_images_to_sample_from: .inf
     eval_num_rays_per_batch: 4096
+    eval_num_times_to_repeat_images: .inf
     images_on_gpu: false
     masks_on_gpu: false
     patch_size: 1
       max_num_iterations: 100
       num_rays_per_batch: 4096
       rejection_sample_mask: false
+    train_num_images_to_sample_from: .inf
     train_num_rays_per_batch: 4096
+    train_num_times_to_repeat_images: .inf
   max_num_samples_per_ray: 1024
+  model: !!python/object:genie.genie_model.GenieModelConfig
+    _target: !!python/name:genie.genie_model.GenieModel ''
+    alpha_thre: 0.01
     background_color: random
     collider_params: null
     cone_angle: 0.00390625
+    densify: false
     disable_scene_contraction: false
     enable_collider: false
     eval_num_rays_per_chunk: 8192
     far_plane: 1000.0
+    grid_levels: 4
     grid_resolution: 128
+    knn_algorithm: !!python/object:genie.knnx.knn_algorithms.OptixKNNConfig
+      _target: !!python/name:genie.knnx.knn_algorithms.OptixKNN ''
+      chi_squared_radius: 120.0
       device: cuda
       n_neighbours: 16
     loss_coefficients:
       rgb_loss_coarse: 1.0
       rgb_loss_fine: 1.0
     max_gb: 20
+    near_plane: 0.05
     prompt: null
+    prune: false
+    render_step_size: null
+    unfreeze_means: false
     use_gradient_scaling: true
+    visualize_gaussians: true
+    visualize_occupancy_grid: false
+  target_num_samples: 131072
 project_name: nerfstudio-project
 prompt: null
 pruning_interval: 1000
 pruning_start_step: 1000
+pruning_stop_step: 14000
 relative_model_dir: !!python/object/apply:pathlib.PosixPath
 - nerfstudio_models
 save_only_latest_checkpoint: true
+start_paused: false
 steps_per_eval_all_images: 25000
 steps_per_eval_batch: 500
 steps_per_eval_image: 500
 steps_per_save: 100
+timestamp: final
 unfreeze_means_step: 500
 use_grad_scaler: false
 viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
   make_share_url: false
   max_num_display_images: 512
   num_rays_per_chunk: 4096
+  quit_on_train_completion: true
   relative_log_filename: viewer_log_filename.txt
   websocket_host: 0.0.0.0
   websocket_port: null

configs/bonsai.yml CHANGED Viewed

@@ -1,14 +1,14 @@
-!!python/object:gnerf.gnerf_trainer.GNeRFTrainerConfig
-_target: !!python/name:gnerf.gnerf_trainer.GNeRFTrainer ''
 data: &id004 !!python/object/apply:pathlib.PosixPath
 - data
 - 360_v2
 - bonsai
-denisification_interval: 100
-densification_start_step: 100
-densification_stop_step: 10000
 experiment_name: bonsai
-freeze_means_step: 10000
 gradient_accumulation_steps: {}
 load_checkpoint: null
 load_config: null
@@ -45,8 +45,8 @@ machine: !!python/object:nerfstudio.configs.base_config.MachineConfig
   num_devices: 1
   num_machines: 1
   seed: 42
-max_num_iterations: 20000
-method_name: gnerf
 mixed_precision: false
 optimizers:
   fields:
@@ -56,10 +56,10 @@ optimizers:
       lr: 0.01
       max_norm: null
       weight_decay: 1.0e-06
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
-      _target: &id002 !!python/name:gnerf.utils.schedulers.ChainedScheduler ''
       gamma: 0.33
-      max_steps: 20000
       milestones: &id003 !!python/tuple
       - 0.5
       - 0.75
@@ -71,10 +71,10 @@ optimizers:
       lr: 0.001
       max_norm: null
       weight_decay: 0
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
-      max_steps: 20000
       milestones: *id003
   means:
     optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
@@ -83,28 +83,41 @@ optimizers:
       lr: 1.0e-05
       max_norm: null
       weight_decay: 0
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
-      max_steps: 20000
       milestones: *id003
 output_dir: !!python/object/apply:pathlib.PosixPath
 - outputs
-pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
-  _target: !!python/name:gnerf.gnerf_pipeline.GNeRFPipeline ''
   datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
     _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
     camera_optimizer: null
     camera_res_scale_factor: 1.0
     collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
     data: *id004
-    dataparser: !!python/object:nerfstudio.data.dataparsers.nerfstudio_dataparser.NerfstudioDataParserConfig
-      _target: !!python/name:nerfstudio.data.dataparsers.nerfstudio_dataparser.Nerfstudio ''
       auto_scale_poses: true
       center_method: poses
       data: !!python/object/apply:pathlib.PosixPath []
       depth_unit_scale_factor: 0.001
-      downscale_factor: 4
       eval_interval: 8
       eval_mode: fraction
       load_3D_points: true
@@ -115,9 +128,9 @@ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
       train_split_fraction: 0.9
     eval_image_indices: !!python/tuple
     - 0
-    eval_num_images_to_sample_from: -1
     eval_num_rays_per_batch: 4096
-    eval_num_times_to_repeat_images: -1
     images_on_gpu: false
     masks_on_gpu: false
     patch_size: 1
@@ -130,53 +143,55 @@ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
       max_num_iterations: 100
       num_rays_per_batch: 4096
       rejection_sample_mask: false
-    train_num_images_to_sample_from: -1
     train_num_rays_per_batch: 4096
-    train_num_times_to_repeat_images: -1
   max_num_samples_per_ray: 1024
-  model: !!python/object:gnerf.gnerf_model.GNeRFModelConfig
-    _target: !!python/name:gnerf.gnerf_model.GNeRFModel ''
-    alpha_thre: 0.0
-    appearance_embedding_dim: 32
     background_color: random
     collider_params: null
     cone_angle: 0.00390625
-    densify: true
     disable_scene_contraction: false
     enable_collider: false
     eval_num_rays_per_chunk: 8192
     far_plane: 1000.0
     grid_resolution: 128
-    knn_algorithm: !!python/object:gnerf.knn.knn_algorithms.OptixKNNConfig
-      _target: !!python/name:gnerf.knn.knn_algorithms.OptixKNN ''
-      chi_squared_radius: 2.0
       device: cuda
       n_neighbours: 16
     loss_coefficients:
       rgb_loss_coarse: 1.0
       rgb_loss_fine: 1.0
     max_gb: 20
-    near_plane: 0.0
     prompt: null
-    prune: true
-    render_step_size: 0.005
-    unfreeze_means: true
-    use_appearance_embedding: false
     use_gradient_scaling: true
-  target_num_samples: 262144
 project_name: nerfstudio-project
 prompt: null
 pruning_interval: 1000
 pruning_start_step: 1000
-pruning_stop_step: 15000
 relative_model_dir: !!python/object/apply:pathlib.PosixPath
 - nerfstudio_models
 save_only_latest_checkpoint: true
 steps_per_eval_all_images: 25000
 steps_per_eval_batch: 500
 steps_per_eval_image: 500
 steps_per_save: 100
-timestamp: open_scenes_baseline
 unfreeze_means_step: 500
 use_grad_scaler: false
 viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
@@ -187,7 +202,7 @@ viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
   make_share_url: false
   max_num_display_images: 512
   num_rays_per_chunk: 4096
-  quit_on_train_completion: false
   relative_log_filename: viewer_log_filename.txt
   websocket_host: 0.0.0.0
   websocket_port: null

+!!python/object:genie.genie_trainer.GenieTrainerConfig
+_target: !!python/name:genie.genie_trainer.GenieTrainer ''
 data: &id004 !!python/object/apply:pathlib.PosixPath
 - data
 - 360_v2
 - bonsai
+denisification_interval: 200
+densification_start_step: 1000
+densification_stop_step: 8000
 experiment_name: bonsai
+freeze_means_step: 15000
 gradient_accumulation_steps: {}
 load_checkpoint: null
 load_config: null
   num_devices: 1
   num_machines: 1
   seed: 42
+max_num_iterations: 30000
+method_name: genie-real
 mixed_precision: false
 optimizers:
   fields:
       lr: 0.01
       max_norm: null
       weight_decay: 1.0e-06
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
+      _target: &id002 !!python/name:genie.utils.schedulers.ChainedScheduler ''
       gamma: 0.33
+      max_steps: 30000
       milestones: &id003 !!python/tuple
       - 0.5
       - 0.75
       lr: 0.001
       max_norm: null
       weight_decay: 0
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
+      max_steps: 30000
       milestones: *id003
   means:
     optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
       lr: 1.0e-05
       max_norm: null
       weight_decay: 0
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
+      max_steps: 30000
+      milestones: *id003
+  quats:
+    optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
+      _target: *id001
+      eps: 1.0e-15
+      lr: 0.001
+      max_norm: null
+      weight_decay: 0
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
+      _target: *id002
+      gamma: 0.33
+      max_steps: 30000
       milestones: *id003
 output_dir: !!python/object/apply:pathlib.PosixPath
 - outputs
+pipeline: !!python/object:genie.genie_pipeline.GeniePipelineConfig
+  _target: !!python/name:genie.genie_pipeline.GeniePipeline ''
   datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
     _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
+    cache_images_type: float32
     camera_optimizer: null
     camera_res_scale_factor: 1.0
     collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
     data: *id004
+    dataparser: !!python/object:genie.data.dataparsers.GenieNerfstudioDataParserConfig
+      _target: !!python/name:genie.data.dataparsers.GenieNerfstudio ''
       auto_scale_poses: true
       center_method: poses
       data: !!python/object/apply:pathlib.PosixPath []
       depth_unit_scale_factor: 0.001
+      downscale_factor: null
       eval_interval: 8
       eval_mode: fraction
       load_3D_points: true
       train_split_fraction: 0.9
     eval_image_indices: !!python/tuple
     - 0
+    eval_num_images_to_sample_from: .inf
     eval_num_rays_per_batch: 4096
+    eval_num_times_to_repeat_images: .inf
     images_on_gpu: false
     masks_on_gpu: false
     patch_size: 1
       max_num_iterations: 100
       num_rays_per_batch: 4096
       rejection_sample_mask: false
+    train_num_images_to_sample_from: .inf
     train_num_rays_per_batch: 4096
+    train_num_times_to_repeat_images: .inf
   max_num_samples_per_ray: 1024
+  model: !!python/object:genie.genie_model.GenieModelConfig
+    _target: !!python/name:genie.genie_model.GenieModel ''
+    alpha_thre: 0.01
     background_color: random
     collider_params: null
     cone_angle: 0.00390625
+    densify: false
     disable_scene_contraction: false
     enable_collider: false
     eval_num_rays_per_chunk: 8192
     far_plane: 1000.0
+    grid_levels: 4
     grid_resolution: 128
+    knn_algorithm: !!python/object:genie.knnx.knn_algorithms.OptixKNNConfig
+      _target: !!python/name:genie.knnx.knn_algorithms.OptixKNN ''
+      chi_squared_radius: 120.0
       device: cuda
       n_neighbours: 16
     loss_coefficients:
       rgb_loss_coarse: 1.0
       rgb_loss_fine: 1.0
     max_gb: 20
+    near_plane: 0.05
     prompt: null
+    prune: false
+    render_step_size: null
+    unfreeze_means: false
     use_gradient_scaling: true
+    visualize_gaussians: true
+    visualize_occupancy_grid: false
+  target_num_samples: 131072
 project_name: nerfstudio-project
 prompt: null
 pruning_interval: 1000
 pruning_start_step: 1000
+pruning_stop_step: 14000
 relative_model_dir: !!python/object/apply:pathlib.PosixPath
 - nerfstudio_models
 save_only_latest_checkpoint: true
+start_paused: false
 steps_per_eval_all_images: 25000
 steps_per_eval_batch: 500
 steps_per_eval_image: 500
 steps_per_save: 100
+timestamp: final
 unfreeze_means_step: 500
 use_grad_scaler: false
 viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
   make_share_url: false
   max_num_display_images: 512
   num_rays_per_chunk: 4096
+  quit_on_train_completion: true
   relative_log_filename: viewer_log_filename.txt
   websocket_host: 0.0.0.0
   websocket_port: null

configs/chair.yml CHANGED Viewed

@@ -1,5 +1,5 @@
-!!python/object:gnerf.gnerf_trainer.GNeRFTrainerConfig
-_target: !!python/name:gnerf.gnerf_trainer.GNeRFTrainer ''
 data: &id004 !!python/object/apply:pathlib.PosixPath
 - data
 - nerf_synthetic
@@ -8,6 +8,7 @@ denisification_interval: 200
 densification_start_step: 1000
 densification_stop_step: 8000
 experiment_name: chair
 gradient_accumulation_steps: {}
 load_checkpoint: null
 load_config: null
@@ -44,8 +45,8 @@ machine: !!python/object:nerfstudio.configs.base_config.MachineConfig
   num_devices: 1
   num_machines: 1
   seed: 42
-max_num_iterations: 20000
-method_name: gnerf
 mixed_precision: false
 optimizers:
   fields:
@@ -55,10 +56,10 @@ optimizers:
       lr: 0.01
       max_norm: null
       weight_decay: 1.0e-06
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
-      _target: &id002 !!python/name:gnerf.utils.schedulers.ChainedScheduler ''
       gamma: 0.33
-      max_steps: 20000
       milestones: &id003 !!python/tuple
       - 0.5
       - 0.75
@@ -70,10 +71,10 @@ optimizers:
       lr: 0.001
       max_norm: null
       weight_decay: 0
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
-      max_steps: 20000
       milestones: *id003
   means:
     optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
@@ -82,24 +83,37 @@ optimizers:
       lr: 1.0e-05
       max_norm: null
       weight_decay: 0
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
-      max_steps: 20000
       milestones: *id003
 output_dir: !!python/object/apply:pathlib.PosixPath
 - outputs
-pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
-  _target: !!python/name:gnerf.gnerf_pipeline.GNeRFPipeline ''
   datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
     _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
     camera_optimizer: null
     camera_res_scale_factor: 1.0
     collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
     data: *id004
-    dataparser: !!python/object:gnerf.data.dataparsers.GNeRFBlenderDataParserConfig
-      _target: !!python/name:gnerf.data.dataparsers.GNeRFBlender ''
-      alpha_color: white
       data: !!python/object/apply:pathlib.PosixPath
       - data
       - blender
@@ -108,9 +122,9 @@ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
       scale_factor: 1.0
     eval_image_indices: !!python/tuple
     - 0
-    eval_num_images_to_sample_from: -1
     eval_num_rays_per_batch: 4096
-    eval_num_times_to_repeat_images: -1
     images_on_gpu: false
     masks_on_gpu: false
     patch_size: 1
@@ -123,15 +137,14 @@ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
       max_num_iterations: 100
       num_rays_per_batch: 4096
       rejection_sample_mask: false
-    train_num_images_to_sample_from: -1
     train_num_rays_per_batch: 4096
-    train_num_times_to_repeat_images: -1
   max_num_samples_per_ray: 1024
-  model: !!python/object:gnerf.gnerf_model.GNeRFModelConfig
-    _target: !!python/name:gnerf.gnerf_model.GNeRFModel ''
     alpha_thre: 0.0
-    appearance_embedding_dim: 32
-    background_color: white
     collider_params: null
     cone_angle: 0.0
     densify: true
@@ -139,12 +152,13 @@ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
     enable_collider: false
     eval_num_rays_per_chunk: 8192
     far_plane: 6.0
     grid_resolution: 128
-    knn_algorithm: !!python/object:gnerf.knn.knn_algorithms.OptixKNNConfig
-      _target: !!python/name:gnerf.knn.knn_algorithms.OptixKNN ''
       chi_squared_radius: 2.0
       device: cuda
-      n_neighbours: 32
     loss_coefficients:
       rgb_loss_coarse: 1.0
       rgb_loss_fine: 1.0
@@ -153,22 +167,26 @@ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
     prompt: null
     prune: true
     render_step_size: 0.005
-    use_appearance_embedding: false
     use_gradient_scaling: true
   target_num_samples: 262144
 project_name: nerfstudio-project
 prompt: null
 pruning_interval: 1000
 pruning_start_step: 1000
-pruning_stop_step: 15000
 relative_model_dir: !!python/object/apply:pathlib.PosixPath
 - nerfstudio_models
 save_only_latest_checkpoint: true
 steps_per_eval_all_images: 25000
 steps_per_eval_batch: 500
 steps_per_eval_image: 500
 steps_per_save: 100
-timestamp: hash_as_means_unfreezed_10k_lr_1e-5_densify_10k_100_prune
 use_grad_scaler: false
 viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
   camera_frustum_scale: 0.1

+!!python/object:genie.genie_trainer.GenieTrainerConfig
+_target: !!python/name:genie.genie_trainer.GenieTrainer ''
 data: &id004 !!python/object/apply:pathlib.PosixPath
 - data
 - nerf_synthetic
 densification_start_step: 1000
 densification_stop_step: 8000
 experiment_name: chair
+freeze_means_step: 15000
 gradient_accumulation_steps: {}
 load_checkpoint: null
 load_config: null
   num_devices: 1
   num_machines: 1
   seed: 42
+max_num_iterations: 30000
+method_name: genie
 mixed_precision: false
 optimizers:
   fields:
       lr: 0.01
       max_norm: null
       weight_decay: 1.0e-06
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
+      _target: &id002 !!python/name:genie.utils.schedulers.ChainedScheduler ''
       gamma: 0.33
+      max_steps: 30000
       milestones: &id003 !!python/tuple
       - 0.5
       - 0.75
       lr: 0.001
       max_norm: null
       weight_decay: 0
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
+      max_steps: 30000
       milestones: *id003
   means:
     optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
       lr: 1.0e-05
       max_norm: null
       weight_decay: 0
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
+      max_steps: 30000
+      milestones: *id003
+  quats:
+    optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
+      _target: *id001
+      eps: 1.0e-15
+      lr: 0.001
+      max_norm: null
+      weight_decay: 0
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
+      _target: *id002
+      gamma: 0.33
+      max_steps: 30000
       milestones: *id003
 output_dir: !!python/object/apply:pathlib.PosixPath
 - outputs
+pipeline: !!python/object:genie.genie_pipeline.GeniePipelineConfig
+  _target: !!python/name:genie.genie_pipeline.GeniePipeline ''
   datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
     _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
+    cache_images_type: float32
     camera_optimizer: null
     camera_res_scale_factor: 1.0
     collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
     data: *id004
+    dataparser: !!python/object:genie.data.dataparsers.GenieBlenderDataParserConfig
+      _target: !!python/name:genie.data.dataparsers.GenieBlender ''
+      alpha_color: black
       data: !!python/object/apply:pathlib.PosixPath
       - data
       - blender
       scale_factor: 1.0
     eval_image_indices: !!python/tuple
     - 0
+    eval_num_images_to_sample_from: .inf
     eval_num_rays_per_batch: 4096
+    eval_num_times_to_repeat_images: .inf
     images_on_gpu: false
     masks_on_gpu: false
     patch_size: 1
       max_num_iterations: 100
       num_rays_per_batch: 4096
       rejection_sample_mask: false
+    train_num_images_to_sample_from: .inf
     train_num_rays_per_batch: 4096
+    train_num_times_to_repeat_images: .inf
   max_num_samples_per_ray: 1024
+  model: !!python/object:genie.genie_model.GenieModelConfig
+    _target: !!python/name:genie.genie_model.GenieModel ''
     alpha_thre: 0.0
+    background_color: black
     collider_params: null
     cone_angle: 0.0
     densify: true
     enable_collider: false
     eval_num_rays_per_chunk: 8192
     far_plane: 6.0
+    grid_levels: 1
     grid_resolution: 128
+    knn_algorithm: !!python/object:genie.knnx.knn_algorithms.OptixKNNConfig
+      _target: !!python/name:genie.knnx.knn_algorithms.OptixKNN ''
       chi_squared_radius: 2.0
       device: cuda
+      n_neighbours: 16
     loss_coefficients:
       rgb_loss_coarse: 1.0
       rgb_loss_fine: 1.0
     prompt: null
     prune: true
     render_step_size: 0.005
+    unfreeze_means: true
     use_gradient_scaling: true
+    visualize_gaussians: false
+    visualize_occupancy_grid: false
   target_num_samples: 262144
 project_name: nerfstudio-project
 prompt: null
 pruning_interval: 1000
 pruning_start_step: 1000
+pruning_stop_step: 14000
 relative_model_dir: !!python/object/apply:pathlib.PosixPath
 - nerfstudio_models
 save_only_latest_checkpoint: true
+start_paused: false
 steps_per_eval_all_images: 25000
 steps_per_eval_batch: 500
 steps_per_eval_image: 500
 steps_per_save: 100
+timestamp: final_black
+unfreeze_means_step: 500
 use_grad_scaler: false
 viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
   camera_frustum_scale: 0.1

configs/counter.yml CHANGED Viewed

@@ -1,14 +1,14 @@
-!!python/object:gnerf.gnerf_trainer.GNeRFTrainerConfig
-_target: !!python/name:gnerf.gnerf_trainer.GNeRFTrainer ''
 data: &id004 !!python/object/apply:pathlib.PosixPath
 - data
 - 360_v2
 - counter
-denisification_interval: 100
-densification_start_step: 100
-densification_stop_step: 10000
 experiment_name: counter
-freeze_means_step: 10000
 gradient_accumulation_steps: {}
 load_checkpoint: null
 load_config: null
@@ -45,8 +45,8 @@ machine: !!python/object:nerfstudio.configs.base_config.MachineConfig
   num_devices: 1
   num_machines: 1
   seed: 42
-max_num_iterations: 20000
-method_name: gnerf
 mixed_precision: false
 optimizers:
   fields:
@@ -56,10 +56,10 @@ optimizers:
       lr: 0.01
       max_norm: null
       weight_decay: 1.0e-06
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
-      _target: &id002 !!python/name:gnerf.utils.schedulers.ChainedScheduler ''
       gamma: 0.33
-      max_steps: 20000
       milestones: &id003 !!python/tuple
       - 0.5
       - 0.75
@@ -71,10 +71,10 @@ optimizers:
       lr: 0.001
       max_norm: null
       weight_decay: 0
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
-      max_steps: 20000
       milestones: *id003
   means:
     optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
@@ -83,28 +83,41 @@ optimizers:
       lr: 1.0e-05
       max_norm: null
       weight_decay: 0
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
-      max_steps: 20000
       milestones: *id003
 output_dir: !!python/object/apply:pathlib.PosixPath
 - outputs
-pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
-  _target: !!python/name:gnerf.gnerf_pipeline.GNeRFPipeline ''
   datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
     _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
     camera_optimizer: null
     camera_res_scale_factor: 1.0
     collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
     data: *id004
-    dataparser: !!python/object:nerfstudio.data.dataparsers.nerfstudio_dataparser.NerfstudioDataParserConfig
-      _target: !!python/name:nerfstudio.data.dataparsers.nerfstudio_dataparser.Nerfstudio ''
       auto_scale_poses: true
       center_method: poses
       data: !!python/object/apply:pathlib.PosixPath []
       depth_unit_scale_factor: 0.001
-      downscale_factor: 4
       eval_interval: 8
       eval_mode: fraction
       load_3D_points: true
@@ -115,9 +128,9 @@ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
       train_split_fraction: 0.9
     eval_image_indices: !!python/tuple
     - 0
-    eval_num_images_to_sample_from: -1
     eval_num_rays_per_batch: 4096
-    eval_num_times_to_repeat_images: -1
     images_on_gpu: false
     masks_on_gpu: false
     patch_size: 1
@@ -130,53 +143,55 @@ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
       max_num_iterations: 100
       num_rays_per_batch: 4096
       rejection_sample_mask: false
-    train_num_images_to_sample_from: -1
     train_num_rays_per_batch: 4096
-    train_num_times_to_repeat_images: -1
   max_num_samples_per_ray: 1024
-  model: !!python/object:gnerf.gnerf_model.GNeRFModelConfig
-    _target: !!python/name:gnerf.gnerf_model.GNeRFModel ''
-    alpha_thre: 0.0
-    appearance_embedding_dim: 32
     background_color: random
     collider_params: null
     cone_angle: 0.00390625
-    densify: true
     disable_scene_contraction: false
     enable_collider: false
     eval_num_rays_per_chunk: 8192
     far_plane: 1000.0
     grid_resolution: 128
-    knn_algorithm: !!python/object:gnerf.knn.knn_algorithms.OptixKNNConfig
-      _target: !!python/name:gnerf.knn.knn_algorithms.OptixKNN ''
-      chi_squared_radius: 2.0
       device: cuda
       n_neighbours: 16
     loss_coefficients:
       rgb_loss_coarse: 1.0
       rgb_loss_fine: 1.0
     max_gb: 20
-    near_plane: 0.0
     prompt: null
-    prune: true
-    render_step_size: 0.005
-    unfreeze_means: true
-    use_appearance_embedding: false
     use_gradient_scaling: true
-  target_num_samples: 262144
 project_name: nerfstudio-project
 prompt: null
 pruning_interval: 1000
 pruning_start_step: 1000
-pruning_stop_step: 15000
 relative_model_dir: !!python/object/apply:pathlib.PosixPath
 - nerfstudio_models
 save_only_latest_checkpoint: true
 steps_per_eval_all_images: 25000
 steps_per_eval_batch: 500
 steps_per_eval_image: 500
 steps_per_save: 100
-timestamp: open_scenes_baseline
 unfreeze_means_step: 500
 use_grad_scaler: false
 viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
@@ -187,7 +202,7 @@ viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
   make_share_url: false
   max_num_display_images: 512
   num_rays_per_chunk: 4096
-  quit_on_train_completion: false
   relative_log_filename: viewer_log_filename.txt
   websocket_host: 0.0.0.0
   websocket_port: null

+!!python/object:genie.genie_trainer.GenieTrainerConfig
+_target: !!python/name:genie.genie_trainer.GenieTrainer ''
 data: &id004 !!python/object/apply:pathlib.PosixPath
 - data
 - 360_v2
 - counter
+denisification_interval: 200
+densification_start_step: 1000
+densification_stop_step: 8000
 experiment_name: counter
+freeze_means_step: 15000
 gradient_accumulation_steps: {}
 load_checkpoint: null
 load_config: null
   num_devices: 1
   num_machines: 1
   seed: 42
+max_num_iterations: 30000
+method_name: genie-real
 mixed_precision: false
 optimizers:
   fields:
       lr: 0.01
       max_norm: null
       weight_decay: 1.0e-06
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
+      _target: &id002 !!python/name:genie.utils.schedulers.ChainedScheduler ''
       gamma: 0.33
+      max_steps: 30000
       milestones: &id003 !!python/tuple
       - 0.5
       - 0.75
       lr: 0.001
       max_norm: null
       weight_decay: 0
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
+      max_steps: 30000
       milestones: *id003
   means:
     optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
       lr: 1.0e-05
       max_norm: null
       weight_decay: 0
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
+      max_steps: 30000
+      milestones: *id003
+  quats:
+    optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
+      _target: *id001
+      eps: 1.0e-15
+      lr: 0.001
+      max_norm: null
+      weight_decay: 0
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
+      _target: *id002
+      gamma: 0.33
+      max_steps: 30000
       milestones: *id003
 output_dir: !!python/object/apply:pathlib.PosixPath
 - outputs
+pipeline: !!python/object:genie.genie_pipeline.GeniePipelineConfig
+  _target: !!python/name:genie.genie_pipeline.GeniePipeline ''
   datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
     _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
+    cache_images_type: float32
     camera_optimizer: null
     camera_res_scale_factor: 1.0
     collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
     data: *id004
+    dataparser: !!python/object:genie.data.dataparsers.GenieNerfstudioDataParserConfig
+      _target: !!python/name:genie.data.dataparsers.GenieNerfstudio ''
       auto_scale_poses: true
       center_method: poses
       data: !!python/object/apply:pathlib.PosixPath []
       depth_unit_scale_factor: 0.001
+      downscale_factor: null
       eval_interval: 8
       eval_mode: fraction
       load_3D_points: true
       train_split_fraction: 0.9
     eval_image_indices: !!python/tuple
     - 0
+    eval_num_images_to_sample_from: .inf
     eval_num_rays_per_batch: 4096
+    eval_num_times_to_repeat_images: .inf
     images_on_gpu: false
     masks_on_gpu: false
     patch_size: 1
       max_num_iterations: 100
       num_rays_per_batch: 4096
       rejection_sample_mask: false
+    train_num_images_to_sample_from: .inf
     train_num_rays_per_batch: 4096
+    train_num_times_to_repeat_images: .inf
   max_num_samples_per_ray: 1024
+  model: !!python/object:genie.genie_model.GenieModelConfig
+    _target: !!python/name:genie.genie_model.GenieModel ''
+    alpha_thre: 0.01
     background_color: random
     collider_params: null
     cone_angle: 0.00390625
+    densify: false
     disable_scene_contraction: false
     enable_collider: false
     eval_num_rays_per_chunk: 8192
     far_plane: 1000.0
+    grid_levels: 4
     grid_resolution: 128
+    knn_algorithm: !!python/object:genie.knnx.knn_algorithms.OptixKNNConfig
+      _target: !!python/name:genie.knnx.knn_algorithms.OptixKNN ''
+      chi_squared_radius: 120.0
       device: cuda
       n_neighbours: 16
     loss_coefficients:
       rgb_loss_coarse: 1.0
       rgb_loss_fine: 1.0
     max_gb: 20
+    near_plane: 0.05
     prompt: null
+    prune: false
+    render_step_size: null
+    unfreeze_means: false
     use_gradient_scaling: true
+    visualize_gaussians: false
+    visualize_occupancy_grid: false
+  target_num_samples: 131072
 project_name: nerfstudio-project
 prompt: null
 pruning_interval: 1000
 pruning_start_step: 1000
+pruning_stop_step: 14000
 relative_model_dir: !!python/object/apply:pathlib.PosixPath
 - nerfstudio_models
 save_only_latest_checkpoint: true
+start_paused: false
 steps_per_eval_all_images: 25000
 steps_per_eval_batch: 500
 steps_per_eval_image: 500
 steps_per_save: 100
+timestamp: final
 unfreeze_means_step: 500
 use_grad_scaler: false
 viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
   make_share_url: false
   max_num_display_images: 512
   num_rays_per_chunk: 4096
+  quit_on_train_completion: true
   relative_log_filename: viewer_log_filename.txt
   websocket_host: 0.0.0.0
   websocket_port: null

configs/drums.yml CHANGED Viewed

@@ -1,5 +1,5 @@
-!!python/object:gnerf.gnerf_trainer.GNeRFTrainerConfig
-_target: !!python/name:gnerf.gnerf_trainer.GNeRFTrainer ''
 data: &id004 !!python/object/apply:pathlib.PosixPath
 - data
 - nerf_synthetic
@@ -8,6 +8,7 @@ denisification_interval: 200
 densification_start_step: 1000
 densification_stop_step: 8000
 experiment_name: drums
 gradient_accumulation_steps: {}
 load_checkpoint: null
 load_config: null
@@ -44,8 +45,8 @@ machine: !!python/object:nerfstudio.configs.base_config.MachineConfig
   num_devices: 1
   num_machines: 1
   seed: 42
-max_num_iterations: 20000
-method_name: gnerf
 mixed_precision: false
 optimizers:
   fields:
@@ -55,10 +56,10 @@ optimizers:
       lr: 0.01
       max_norm: null
       weight_decay: 1.0e-06
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
-      _target: &id002 !!python/name:gnerf.utils.schedulers.ChainedScheduler ''
       gamma: 0.33
-      max_steps: 20000
       milestones: &id003 !!python/tuple
       - 0.5
       - 0.75
@@ -70,10 +71,10 @@ optimizers:
       lr: 0.001
       max_norm: null
       weight_decay: 0
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
-      max_steps: 20000
       milestones: *id003
   means:
     optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
@@ -82,24 +83,37 @@ optimizers:
       lr: 1.0e-05
       max_norm: null
       weight_decay: 0
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
-      max_steps: 20000
       milestones: *id003
 output_dir: !!python/object/apply:pathlib.PosixPath
 - outputs
-pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
-  _target: !!python/name:gnerf.gnerf_pipeline.GNeRFPipeline ''
   datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
     _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
     camera_optimizer: null
     camera_res_scale_factor: 1.0
     collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
     data: *id004
-    dataparser: !!python/object:gnerf.data.dataparsers.GNeRFBlenderDataParserConfig
-      _target: !!python/name:gnerf.data.dataparsers.GNeRFBlender ''
-      alpha_color: white
       data: !!python/object/apply:pathlib.PosixPath
       - data
       - blender
@@ -108,9 +122,9 @@ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
       scale_factor: 1.0
     eval_image_indices: !!python/tuple
     - 0
-    eval_num_images_to_sample_from: -1
     eval_num_rays_per_batch: 4096
-    eval_num_times_to_repeat_images: -1
     images_on_gpu: false
     masks_on_gpu: false
     patch_size: 1
@@ -123,15 +137,14 @@ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
       max_num_iterations: 100
       num_rays_per_batch: 4096
       rejection_sample_mask: false
-    train_num_images_to_sample_from: -1
     train_num_rays_per_batch: 4096
-    train_num_times_to_repeat_images: -1
   max_num_samples_per_ray: 1024
-  model: !!python/object:gnerf.gnerf_model.GNeRFModelConfig
-    _target: !!python/name:gnerf.gnerf_model.GNeRFModel ''
     alpha_thre: 0.0
-    appearance_embedding_dim: 32
-    background_color: white
     collider_params: null
     cone_angle: 0.0
     densify: true
@@ -139,36 +152,41 @@ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
     enable_collider: false
     eval_num_rays_per_chunk: 8192
     far_plane: 6.0
     grid_resolution: 128
-    knn_algorithm: !!python/object:gnerf.knn.knn_algorithms.OptixKNNConfig
-      _target: !!python/name:gnerf.knn.knn_algorithms.OptixKNN ''
       chi_squared_radius: 2.0
       device: cuda
-      n_neighbours: 32
     loss_coefficients:
       rgb_loss_coarse: 1.0
       rgb_loss_fine: 1.0
-    max_gb: 20
     near_plane: 2.0
     prompt: null
     prune: true
-    render_step_size: 0.005
-    use_appearance_embedding: false
     use_gradient_scaling: true
-  target_num_samples: 262144
 project_name: nerfstudio-project
 prompt: null
 pruning_interval: 1000
 pruning_start_step: 1000
-pruning_stop_step: 15000
 relative_model_dir: !!python/object/apply:pathlib.PosixPath
 - nerfstudio_models
 save_only_latest_checkpoint: true
 steps_per_eval_all_images: 25000
 steps_per_eval_batch: 500
 steps_per_eval_image: 500
 steps_per_save: 100
-timestamp: hash_as_means_unfreezed_10k_lr_1e-5_densify_10k_100_prune
 use_grad_scaler: false
 viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
   camera_frustum_scale: 0.1

+!!python/object:genie.genie_trainer.GenieTrainerConfig
+_target: !!python/name:genie.genie_trainer.GenieTrainer ''
 data: &id004 !!python/object/apply:pathlib.PosixPath
 - data
 - nerf_synthetic
 densification_start_step: 1000
 densification_stop_step: 8000
 experiment_name: drums
+freeze_means_step: 15000
 gradient_accumulation_steps: {}
 load_checkpoint: null
 load_config: null
   num_devices: 1
   num_machines: 1
   seed: 42
+max_num_iterations: 30000
+method_name: genie
 mixed_precision: false
 optimizers:
   fields:
       lr: 0.01
       max_norm: null
       weight_decay: 1.0e-06
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
+      _target: &id002 !!python/name:genie.utils.schedulers.ChainedScheduler ''
       gamma: 0.33
+      max_steps: 30000
       milestones: &id003 !!python/tuple
       - 0.5
       - 0.75
       lr: 0.001
       max_norm: null
       weight_decay: 0
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
+      max_steps: 30000
       milestones: *id003
   means:
     optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
       lr: 1.0e-05
       max_norm: null
       weight_decay: 0
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
+      max_steps: 30000
+      milestones: *id003
+  quats:
+    optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
+      _target: *id001
+      eps: 1.0e-15
+      lr: 0.001
+      max_norm: null
+      weight_decay: 0
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
+      _target: *id002
+      gamma: 0.33
+      max_steps: 30000
       milestones: *id003
 output_dir: !!python/object/apply:pathlib.PosixPath
 - outputs
+pipeline: !!python/object:genie.genie_pipeline.GeniePipelineConfig
+  _target: !!python/name:genie.genie_pipeline.GeniePipeline ''
   datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
     _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
+    cache_images_type: float32
     camera_optimizer: null
     camera_res_scale_factor: 1.0
     collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
     data: *id004
+    dataparser: !!python/object:genie.data.dataparsers.GenieBlenderDataParserConfig
+      _target: !!python/name:genie.data.dataparsers.GenieBlender ''
+      alpha_color: black
       data: !!python/object/apply:pathlib.PosixPath
       - data
       - blender
       scale_factor: 1.0
     eval_image_indices: !!python/tuple
     - 0
+    eval_num_images_to_sample_from: .inf
     eval_num_rays_per_batch: 4096
+    eval_num_times_to_repeat_images: .inf
     images_on_gpu: false
     masks_on_gpu: false
     patch_size: 1
       max_num_iterations: 100
       num_rays_per_batch: 4096
       rejection_sample_mask: false
+    train_num_images_to_sample_from: .inf
     train_num_rays_per_batch: 4096
+    train_num_times_to_repeat_images: .inf
   max_num_samples_per_ray: 1024
+  model: !!python/object:genie.genie_model.GenieModelConfig
+    _target: !!python/name:genie.genie_model.GenieModel ''
     alpha_thre: 0.0
+    background_color: black
     collider_params: null
     cone_angle: 0.0
     densify: true
     enable_collider: false
     eval_num_rays_per_chunk: 8192
     far_plane: 6.0
+    grid_levels: 1
     grid_resolution: 128
+    knn_algorithm: !!python/object:genie.knnx.knn_algorithms.OptixKNNConfig
+      _target: !!python/name:genie.knnx.knn_algorithms.OptixKNN ''
       chi_squared_radius: 2.0
       device: cuda
+      n_neighbours: 16
     loss_coefficients:
       rgb_loss_coarse: 1.0
       rgb_loss_fine: 1.0
+    max_gb: 28
     near_plane: 2.0
     prompt: null
     prune: true
+    render_step_size: 0.003
+    unfreeze_means: true
     use_gradient_scaling: true
+    visualize_gaussians: false
+    visualize_occupancy_grid: false
+  target_num_samples: 524288
 project_name: nerfstudio-project
 prompt: null
 pruning_interval: 1000
 pruning_start_step: 1000
+pruning_stop_step: 14000
 relative_model_dir: !!python/object/apply:pathlib.PosixPath
 - nerfstudio_models
 save_only_latest_checkpoint: true
+start_paused: false
 steps_per_eval_all_images: 25000
 steps_per_eval_batch: 500
 steps_per_eval_image: 500
 steps_per_save: 100
+timestamp: final_black
+unfreeze_means_step: 500
 use_grad_scaler: false
 viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
   camera_frustum_scale: 0.1

configs/ficus.yml CHANGED Viewed

@@ -1,5 +1,5 @@
-!!python/object:gnerf.gnerf_trainer.GNeRFTrainerConfig
-_target: !!python/name:gnerf.gnerf_trainer.GNeRFTrainer ''
 data: &id004 !!python/object/apply:pathlib.PosixPath
 - data
 - nerf_synthetic
@@ -8,6 +8,7 @@ denisification_interval: 200
 densification_start_step: 1000
 densification_stop_step: 8000
 experiment_name: ficus
 gradient_accumulation_steps: {}
 load_checkpoint: null
 load_config: null
@@ -44,8 +45,8 @@ machine: !!python/object:nerfstudio.configs.base_config.MachineConfig
   num_devices: 1
   num_machines: 1
   seed: 42
-max_num_iterations: 20000
-method_name: gnerf
 mixed_precision: false
 optimizers:
   fields:
@@ -55,10 +56,10 @@ optimizers:
       lr: 0.01
       max_norm: null
       weight_decay: 1.0e-06
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
-      _target: &id002 !!python/name:gnerf.utils.schedulers.ChainedScheduler ''
       gamma: 0.33
-      max_steps: 20000
       milestones: &id003 !!python/tuple
       - 0.5
       - 0.75
@@ -70,10 +71,10 @@ optimizers:
       lr: 0.001
       max_norm: null
       weight_decay: 0
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
-      max_steps: 20000
       milestones: *id003
   means:
     optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
@@ -82,24 +83,37 @@ optimizers:
       lr: 1.0e-05
       max_norm: null
       weight_decay: 0
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
-      max_steps: 20000
       milestones: *id003
 output_dir: !!python/object/apply:pathlib.PosixPath
 - outputs
-pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
-  _target: !!python/name:gnerf.gnerf_pipeline.GNeRFPipeline ''
   datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
     _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
     camera_optimizer: null
     camera_res_scale_factor: 1.0
     collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
     data: *id004
-    dataparser: !!python/object:gnerf.data.dataparsers.GNeRFBlenderDataParserConfig
-      _target: !!python/name:gnerf.data.dataparsers.GNeRFBlender ''
-      alpha_color: white
       data: !!python/object/apply:pathlib.PosixPath
       - data
       - blender
@@ -108,9 +122,9 @@ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
       scale_factor: 1.0
     eval_image_indices: !!python/tuple
     - 0
-    eval_num_images_to_sample_from: -1
     eval_num_rays_per_batch: 4096
-    eval_num_times_to_repeat_images: -1
     images_on_gpu: false
     masks_on_gpu: false
     patch_size: 1
@@ -123,15 +137,14 @@ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
       max_num_iterations: 100
       num_rays_per_batch: 4096
       rejection_sample_mask: false
-    train_num_images_to_sample_from: -1
     train_num_rays_per_batch: 4096
-    train_num_times_to_repeat_images: -1
   max_num_samples_per_ray: 1024
-  model: !!python/object:gnerf.gnerf_model.GNeRFModelConfig
-    _target: !!python/name:gnerf.gnerf_model.GNeRFModel ''
     alpha_thre: 0.0
-    appearance_embedding_dim: 32
-    background_color: white
     collider_params: null
     cone_angle: 0.0
     densify: true
@@ -139,36 +152,41 @@ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
     enable_collider: false
     eval_num_rays_per_chunk: 8192
     far_plane: 6.0
     grid_resolution: 128
-    knn_algorithm: !!python/object:gnerf.knn.knn_algorithms.OptixKNNConfig
-      _target: !!python/name:gnerf.knn.knn_algorithms.OptixKNN ''
       chi_squared_radius: 2.0
       device: cuda
-      n_neighbours: 32
     loss_coefficients:
       rgb_loss_coarse: 1.0
       rgb_loss_fine: 1.0
-    max_gb: 20
     near_plane: 2.0
     prompt: null
     prune: true
-    render_step_size: 0.005
-    use_appearance_embedding: false
     use_gradient_scaling: true
-  target_num_samples: 262144
 project_name: nerfstudio-project
 prompt: null
 pruning_interval: 1000
 pruning_start_step: 1000
-pruning_stop_step: 15000
 relative_model_dir: !!python/object/apply:pathlib.PosixPath
 - nerfstudio_models
 save_only_latest_checkpoint: true
 steps_per_eval_all_images: 25000
 steps_per_eval_batch: 500
 steps_per_eval_image: 500
 steps_per_save: 100
-timestamp: hash_as_means_unfreezed_10k_lr_1e-5_densify_10k_100_prune
 use_grad_scaler: false
 viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
   camera_frustum_scale: 0.1

+!!python/object:genie.genie_trainer.GenieTrainerConfig
+_target: !!python/name:genie.genie_trainer.GenieTrainer ''
 data: &id004 !!python/object/apply:pathlib.PosixPath
 - data
 - nerf_synthetic
 densification_start_step: 1000
 densification_stop_step: 8000
 experiment_name: ficus
+freeze_means_step: 15000
 gradient_accumulation_steps: {}
 load_checkpoint: null
 load_config: null
   num_devices: 1
   num_machines: 1
   seed: 42
+max_num_iterations: 30000
+method_name: genie
 mixed_precision: false
 optimizers:
   fields:
       lr: 0.01
       max_norm: null
       weight_decay: 1.0e-06
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
+      _target: &id002 !!python/name:genie.utils.schedulers.ChainedScheduler ''
       gamma: 0.33
+      max_steps: 30000
       milestones: &id003 !!python/tuple
       - 0.5
       - 0.75
       lr: 0.001
       max_norm: null
       weight_decay: 0
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
+      max_steps: 30000
       milestones: *id003
   means:
     optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
       lr: 1.0e-05
       max_norm: null
       weight_decay: 0
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
+      max_steps: 30000
+      milestones: *id003
+  quats:
+    optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
+      _target: *id001
+      eps: 1.0e-15
+      lr: 0.001
+      max_norm: null
+      weight_decay: 0
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
+      _target: *id002
+      gamma: 0.33
+      max_steps: 30000
       milestones: *id003
 output_dir: !!python/object/apply:pathlib.PosixPath
 - outputs
+pipeline: !!python/object:genie.genie_pipeline.GeniePipelineConfig
+  _target: !!python/name:genie.genie_pipeline.GeniePipeline ''
   datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
     _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
+    cache_images_type: float32
     camera_optimizer: null
     camera_res_scale_factor: 1.0
     collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
     data: *id004
+    dataparser: !!python/object:genie.data.dataparsers.GenieBlenderDataParserConfig
+      _target: !!python/name:genie.data.dataparsers.GenieBlender ''
+      alpha_color: black
       data: !!python/object/apply:pathlib.PosixPath
       - data
       - blender
       scale_factor: 1.0
     eval_image_indices: !!python/tuple
     - 0
+    eval_num_images_to_sample_from: .inf
     eval_num_rays_per_batch: 4096
+    eval_num_times_to_repeat_images: .inf
     images_on_gpu: false
     masks_on_gpu: false
     patch_size: 1
       max_num_iterations: 100
       num_rays_per_batch: 4096
       rejection_sample_mask: false
+    train_num_images_to_sample_from: .inf
     train_num_rays_per_batch: 4096
+    train_num_times_to_repeat_images: .inf
   max_num_samples_per_ray: 1024
+  model: !!python/object:genie.genie_model.GenieModelConfig
+    _target: !!python/name:genie.genie_model.GenieModel ''
     alpha_thre: 0.0
+    background_color: black
     collider_params: null
     cone_angle: 0.0
     densify: true
     enable_collider: false
     eval_num_rays_per_chunk: 8192
     far_plane: 6.0
+    grid_levels: 1
     grid_resolution: 128
+    knn_algorithm: !!python/object:genie.knnx.knn_algorithms.OptixKNNConfig
+      _target: !!python/name:genie.knnx.knn_algorithms.OptixKNN ''
       chi_squared_radius: 2.0
       device: cuda
+      n_neighbours: 16
     loss_coefficients:
       rgb_loss_coarse: 1.0
       rgb_loss_fine: 1.0
+    max_gb: 28
     near_plane: 2.0
     prompt: null
     prune: true
+    render_step_size: 0.003
+    unfreeze_means: true
     use_gradient_scaling: true
+    visualize_gaussians: false
+    visualize_occupancy_grid: false
+  target_num_samples: 524288
 project_name: nerfstudio-project
 prompt: null
 pruning_interval: 1000
 pruning_start_step: 1000
+pruning_stop_step: 14000
 relative_model_dir: !!python/object/apply:pathlib.PosixPath
 - nerfstudio_models
 save_only_latest_checkpoint: true
+start_paused: false
 steps_per_eval_all_images: 25000
 steps_per_eval_batch: 500
 steps_per_eval_image: 500
 steps_per_save: 100
+timestamp: final_black
+unfreeze_means_step: 500
 use_grad_scaler: false
 viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
   camera_frustum_scale: 0.1

configs/flowers.yml CHANGED Viewed

@@ -1,14 +1,14 @@
-!!python/object:gnerf.gnerf_trainer.GNeRFTrainerConfig
-_target: !!python/name:gnerf.gnerf_trainer.GNeRFTrainer ''
 data: &id004 !!python/object/apply:pathlib.PosixPath
 - data
 - 360_v2
 - flowers
-denisification_interval: 100
-densification_start_step: 100
-densification_stop_step: 10000
 experiment_name: flowers
-freeze_means_step: 10000
 gradient_accumulation_steps: {}
 load_checkpoint: null
 load_config: null
@@ -45,8 +45,8 @@ machine: !!python/object:nerfstudio.configs.base_config.MachineConfig
   num_devices: 1
   num_machines: 1
   seed: 42
-max_num_iterations: 20000
-method_name: gnerf
 mixed_precision: false
 optimizers:
   fields:
@@ -56,10 +56,10 @@ optimizers:
       lr: 0.01
       max_norm: null
       weight_decay: 1.0e-06
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
-      _target: &id002 !!python/name:gnerf.utils.schedulers.ChainedScheduler ''
       gamma: 0.33
-      max_steps: 20000
       milestones: &id003 !!python/tuple
       - 0.5
       - 0.75
@@ -71,10 +71,10 @@ optimizers:
       lr: 0.001
       max_norm: null
       weight_decay: 0
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
-      max_steps: 20000
       milestones: *id003
   means:
     optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
@@ -83,28 +83,41 @@ optimizers:
       lr: 1.0e-05
       max_norm: null
       weight_decay: 0
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
-      max_steps: 20000
       milestones: *id003
 output_dir: !!python/object/apply:pathlib.PosixPath
 - outputs
-pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
-  _target: !!python/name:gnerf.gnerf_pipeline.GNeRFPipeline ''
   datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
     _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
     camera_optimizer: null
     camera_res_scale_factor: 1.0
     collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
     data: *id004
-    dataparser: !!python/object:nerfstudio.data.dataparsers.nerfstudio_dataparser.NerfstudioDataParserConfig
-      _target: !!python/name:nerfstudio.data.dataparsers.nerfstudio_dataparser.Nerfstudio ''
       auto_scale_poses: true
       center_method: poses
       data: !!python/object/apply:pathlib.PosixPath []
       depth_unit_scale_factor: 0.001
-      downscale_factor: 4
       eval_interval: 8
       eval_mode: fraction
       load_3D_points: true
@@ -115,9 +128,9 @@ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
       train_split_fraction: 0.9
     eval_image_indices: !!python/tuple
     - 0
-    eval_num_images_to_sample_from: -1
-    eval_num_rays_per_batch: 4096
-    eval_num_times_to_repeat_images: -1
     images_on_gpu: false
     masks_on_gpu: false
     patch_size: 1
@@ -130,53 +143,55 @@ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
       max_num_iterations: 100
       num_rays_per_batch: 4096
       rejection_sample_mask: false
-    train_num_images_to_sample_from: -1
     train_num_rays_per_batch: 4096
-    train_num_times_to_repeat_images: -1
   max_num_samples_per_ray: 1024
-  model: !!python/object:gnerf.gnerf_model.GNeRFModelConfig
-    _target: !!python/name:gnerf.gnerf_model.GNeRFModel ''
-    alpha_thre: 0.0
-    appearance_embedding_dim: 32
     background_color: random
     collider_params: null
     cone_angle: 0.00390625
-    densify: true
     disable_scene_contraction: false
     enable_collider: false
-    eval_num_rays_per_chunk: 8192
     far_plane: 1000.0
     grid_resolution: 128
-    knn_algorithm: !!python/object:gnerf.knn.knn_algorithms.OptixKNNConfig
-      _target: !!python/name:gnerf.knn.knn_algorithms.OptixKNN ''
-      chi_squared_radius: 2.0
       device: cuda
       n_neighbours: 16
     loss_coefficients:
       rgb_loss_coarse: 1.0
       rgb_loss_fine: 1.0
     max_gb: 20
-    near_plane: 0.0
     prompt: null
-    prune: true
-    render_step_size: 0.005
-    unfreeze_means: true
-    use_appearance_embedding: false
     use_gradient_scaling: true
-  target_num_samples: 262144
 project_name: nerfstudio-project
 prompt: null
 pruning_interval: 1000
 pruning_start_step: 1000
-pruning_stop_step: 15000
 relative_model_dir: !!python/object/apply:pathlib.PosixPath
 - nerfstudio_models
 save_only_latest_checkpoint: true
 steps_per_eval_all_images: 25000
 steps_per_eval_batch: 500
 steps_per_eval_image: 500
 steps_per_save: 100
-timestamp: open_scenes_baseline
 unfreeze_means_step: 500
 use_grad_scaler: false
 viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
@@ -187,7 +202,7 @@ viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
   make_share_url: false
   max_num_display_images: 512
   num_rays_per_chunk: 4096
-  quit_on_train_completion: false
   relative_log_filename: viewer_log_filename.txt
   websocket_host: 0.0.0.0
   websocket_port: null

+!!python/object:genie.genie_trainer.GenieTrainerConfig
+_target: !!python/name:genie.genie_trainer.GenieTrainer ''
 data: &id004 !!python/object/apply:pathlib.PosixPath
 - data
 - 360_v2
 - flowers
+denisification_interval: 200
+densification_start_step: 1000
+densification_stop_step: 8000
 experiment_name: flowers
+freeze_means_step: 15000
 gradient_accumulation_steps: {}
 load_checkpoint: null
 load_config: null
   num_devices: 1
   num_machines: 1
   seed: 42
+max_num_iterations: 30000
+method_name: genie-real
 mixed_precision: false
 optimizers:
   fields:
       lr: 0.01
       max_norm: null
       weight_decay: 1.0e-06
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
+      _target: &id002 !!python/name:genie.utils.schedulers.ChainedScheduler ''
       gamma: 0.33
+      max_steps: 30000
       milestones: &id003 !!python/tuple
       - 0.5
       - 0.75
       lr: 0.001
       max_norm: null
       weight_decay: 0
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
+      max_steps: 30000
       milestones: *id003
   means:
     optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
       lr: 1.0e-05
       max_norm: null
       weight_decay: 0
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
+      max_steps: 30000
+      milestones: *id003
+  quats:
+    optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
+      _target: *id001
+      eps: 1.0e-15
+      lr: 0.001
+      max_norm: null
+      weight_decay: 0
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
+      _target: *id002
+      gamma: 0.33
+      max_steps: 30000
       milestones: *id003
 output_dir: !!python/object/apply:pathlib.PosixPath
 - outputs
+pipeline: !!python/object:genie.genie_pipeline.GeniePipelineConfig
+  _target: !!python/name:genie.genie_pipeline.GeniePipeline ''
   datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
     _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
+    cache_images_type: float32
     camera_optimizer: null
     camera_res_scale_factor: 1.0
     collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
     data: *id004
+    dataparser: !!python/object:genie.data.dataparsers.GenieNerfstudioDataParserConfig
+      _target: !!python/name:genie.data.dataparsers.GenieNerfstudio ''
       auto_scale_poses: true
       center_method: poses
       data: !!python/object/apply:pathlib.PosixPath []
       depth_unit_scale_factor: 0.001
+      downscale_factor: null
       eval_interval: 8
       eval_mode: fraction
       load_3D_points: true
       train_split_fraction: 0.9
     eval_image_indices: !!python/tuple
     - 0
+    eval_num_images_to_sample_from: .inf
+    eval_num_rays_per_batch: 1024
+    eval_num_times_to_repeat_images: .inf
     images_on_gpu: false
     masks_on_gpu: false
     patch_size: 1
       max_num_iterations: 100
       num_rays_per_batch: 4096
       rejection_sample_mask: false
+    train_num_images_to_sample_from: .inf
     train_num_rays_per_batch: 4096
+    train_num_times_to_repeat_images: .inf
   max_num_samples_per_ray: 1024
+  model: !!python/object:genie.genie_model.GenieModelConfig
+    _target: !!python/name:genie.genie_model.GenieModel ''
+    alpha_thre: 0.01
     background_color: random
     collider_params: null
     cone_angle: 0.00390625
+    densify: false
     disable_scene_contraction: false
     enable_collider: false
+    eval_num_rays_per_chunk: 2048
     far_plane: 1000.0
+    grid_levels: 4
     grid_resolution: 128
+    knn_algorithm: !!python/object:genie.knnx.knn_algorithms.OptixKNNConfig
+      _target: !!python/name:genie.knnx.knn_algorithms.OptixKNN ''
+      chi_squared_radius: 120.0
       device: cuda
       n_neighbours: 16
     loss_coefficients:
       rgb_loss_coarse: 1.0
       rgb_loss_fine: 1.0
     max_gb: 20
+    near_plane: 0.05
     prompt: null
+    prune: false
+    render_step_size: null
+    unfreeze_means: false
     use_gradient_scaling: true
+    visualize_gaussians: false
+    visualize_occupancy_grid: false
+  target_num_samples: 131072
 project_name: nerfstudio-project
 prompt: null
 pruning_interval: 1000
 pruning_start_step: 1000
+pruning_stop_step: 14000
 relative_model_dir: !!python/object/apply:pathlib.PosixPath
 - nerfstudio_models
 save_only_latest_checkpoint: true
+start_paused: false
 steps_per_eval_all_images: 25000
 steps_per_eval_batch: 500
 steps_per_eval_image: 500
 steps_per_save: 100
+timestamp: final
 unfreeze_means_step: 500
 use_grad_scaler: false
 viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
   make_share_url: false
   max_num_display_images: 512
   num_rays_per_chunk: 4096
+  quit_on_train_completion: true
   relative_log_filename: viewer_log_filename.txt
   websocket_host: 0.0.0.0
   websocket_port: null

configs/fox_nodding.yml DELETED Viewed

@@ -1,195 +0,0 @@
-!!python/object:gnerf.gnerf_trainer.GNeRFTrainerConfig
-_target: !!python/name:gnerf.gnerf_trainer.GNeRFTrainer ''
-data: &id004 !!python/object/apply:pathlib.PosixPath
-- data
-- fox
-denisification_interval: 200
-densification_start_step: 100
-densification_stop_step: 8000
-experiment_name: fox
-freeze_means_step: 10000
-gradient_accumulation_steps: {}
-load_checkpoint: null
-load_config: null
-load_dir: null
-load_scheduler: true
-load_step: null
-log_gradients: false
-logging: !!python/object:nerfstudio.configs.base_config.LoggingConfig
-  local_writer: !!python/object:nerfstudio.configs.base_config.LocalWriterConfig
-    _target: !!python/name:nerfstudio.utils.writer.LocalWriter ''
-    enable: true
-    max_log_size: 0
-    stats_to_track: !!python/tuple
-    - !!python/object/apply:nerfstudio.utils.writer.EventName
-      - Train Iter (time)
-    - !!python/object/apply:nerfstudio.utils.writer.EventName
-      - Train Rays / Sec
-    - !!python/object/apply:nerfstudio.utils.writer.EventName
-      - Test PSNR
-    - !!python/object/apply:nerfstudio.utils.writer.EventName
-      - Vis Rays / Sec
-    - !!python/object/apply:nerfstudio.utils.writer.EventName
-      - Test Rays / Sec
-    - !!python/object/apply:nerfstudio.utils.writer.EventName
-      - ETA (time)
-  max_buffer_size: 20
-  profiler: basic
-  relative_log_dir: !!python/object/apply:pathlib.PosixPath []
-  steps_per_log: 1
-machine: !!python/object:nerfstudio.configs.base_config.MachineConfig
-  device_type: cuda
-  dist_url: auto
-  machine_rank: 0
-  num_devices: 1
-  num_machines: 1
-  seed: 42
-max_num_iterations: 20000
-method_name: gnerf
-mixed_precision: false
-optimizers:
-  fields:
-    optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
-      _target: &id001 !!python/name:torch.optim.adam.Adam ''
-      eps: 1.0e-15
-      lr: 0.01
-      max_norm: null
-      weight_decay: 1.0e-06
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
-      _target: &id002 !!python/name:gnerf.utils.schedulers.ChainedScheduler ''
-      gamma: 0.33
-      max_steps: 20000
-      milestones: &id003 !!python/tuple
-      - 0.5
-      - 0.75
-      - 0.9
-  log_covs:
-    optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
-      _target: *id001
-      eps: 1.0e-15
-      lr: 0.001
-      max_norm: null
-      weight_decay: 0
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
-      _target: *id002
-      gamma: 0.33
-      max_steps: 20000
-      milestones: *id003
-  means:
-    optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
-      _target: *id001
-      eps: 1.0e-15
-      lr: 1.0e-05
-      max_norm: null
-      weight_decay: 0
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
-      _target: *id002
-      gamma: 0.33
-      max_steps: 20000
-      milestones: *id003
-output_dir: !!python/object/apply:pathlib.PosixPath
-- outputs
-pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
-  _target: !!python/name:gnerf.gnerf_pipeline.GNeRFPipeline ''
-  datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
-    _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
-    camera_optimizer: null
-    camera_res_scale_factor: 1.0
-    collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
-    data: *id004
-    dataparser: !!python/object:nerfstudio.data.dataparsers.nerfstudio_dataparser.NerfstudioDataParserConfig
-      _target: !!python/name:nerfstudio.data.dataparsers.nerfstudio_dataparser.Nerfstudio ''
-      auto_scale_poses: true
-      center_method: poses
-      data: !!python/object/apply:pathlib.PosixPath []
-      depth_unit_scale_factor: 0.001
-      downscale_factor: 1
-      eval_interval: 8
-      eval_mode: fraction
-      load_3D_points: true
-      mask_color: null
-      orientation_method: up
-      scale_factor: 1.0
-      scene_scale: 1.0
-      train_split_fraction: 0.9
-    eval_image_indices: !!python/tuple
-    - 0
-    eval_num_images_to_sample_from: -1
-    eval_num_rays_per_batch: 4096
-    eval_num_times_to_repeat_images: -1
-    images_on_gpu: false
-    masks_on_gpu: false
-    patch_size: 1
-    pixel_sampler: !!python/object:nerfstudio.data.pixel_samplers.PixelSamplerConfig
-      _target: !!python/name:nerfstudio.data.pixel_samplers.PixelSampler ''
-      fisheye_crop_radius: null
-      ignore_mask: false
-      is_equirectangular: false
-      keep_full_image: false
-      max_num_iterations: 100
-      num_rays_per_batch: 4096
-      rejection_sample_mask: false
-    train_num_images_to_sample_from: -1
-    train_num_rays_per_batch: 4096
-    train_num_times_to_repeat_images: -1
-  max_num_samples_per_ray: 1024
-  model: !!python/object:gnerf.gnerf_model.GNeRFModelConfig
-    _target: !!python/name:gnerf.gnerf_model.GNeRFModel ''
-    alpha_thre: 0.0
-    appearance_embedding_dim: 32
-    background_color: random
-    collider_params: null
-    cone_angle: 0.00390625
-    densify: true
-    disable_scene_contraction: false
-    enable_collider: false
-    eval_num_rays_per_chunk: 8192
-    far_plane: 1000.0
-    grid_resolution: 128
-    knn_algorithm: !!python/object:gnerf.knn.knn_algorithms.OptixKNNConfig
-      _target: !!python/name:gnerf.knn.knn_algorithms.OptixKNN ''
-      chi_squared_radius: 2.0
-      device: cuda
-      n_neighbours: 16
-    loss_coefficients:
-      rgb_loss_coarse: 1.0
-      rgb_loss_fine: 1.0
-    max_gb: 20
-    near_plane: 0.0
-    prompt: null
-    prune: true
-    render_step_size: 0.005
-    unfreeze_means: true
-    use_appearance_embedding: false
-    use_gradient_scaling: true
-  target_num_samples: 262144
-project_name: nerfstudio-project
-prompt: null
-pruning_interval: 1000
-pruning_start_step: 1000
-pruning_stop_step: 15000
-relative_model_dir: !!python/object/apply:pathlib.PosixPath
-- nerfstudio_models
-save_only_latest_checkpoint: true
-start_paused: true
-steps_per_eval_all_images: 25000
-steps_per_eval_batch: 500
-steps_per_eval_image: 500
-steps_per_save: 100
-timestamp: fox_nodding
-unfreeze_means_step: 500
-use_grad_scaler: false
-viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
-  camera_frustum_scale: 0.1
-  default_composite_depth: true
-  image_format: jpeg
-  jpeg_quality: 75
-  make_share_url: false
-  max_num_display_images: 512
-  num_rays_per_chunk: 4096
-  quit_on_train_completion: false
-  relative_log_filename: viewer_log_filename.txt
-  websocket_host: 0.0.0.0
-  websocket_port: null
-  websocket_port_default: 7007
-vis: viewer

configs/garden.yml CHANGED Viewed

@@ -1,14 +1,14 @@
-!!python/object:gnerf.gnerf_trainer.GNeRFTrainerConfig
-_target: !!python/name:gnerf.gnerf_trainer.GNeRFTrainer ''
 data: &id004 !!python/object/apply:pathlib.PosixPath
 - data
 - 360_v2
 - garden
-denisification_interval: 100
-densification_start_step: 100
-densification_stop_step: 10000
 experiment_name: garden
-freeze_means_step: 10000
 gradient_accumulation_steps: {}
 load_checkpoint: null
 load_config: null
@@ -20,7 +20,7 @@ logging: !!python/object:nerfstudio.configs.base_config.LoggingConfig
   local_writer: !!python/object:nerfstudio.configs.base_config.LocalWriterConfig
     _target: !!python/name:nerfstudio.utils.writer.LocalWriter ''
     enable: true
-    max_log_size: 10
     stats_to_track: !!python/tuple
     - !!python/object/apply:nerfstudio.utils.writer.EventName
       - Train Iter (time)
@@ -45,8 +45,8 @@ machine: !!python/object:nerfstudio.configs.base_config.MachineConfig
   num_devices: 1
   num_machines: 1
   seed: 42
-max_num_iterations: 20000
-method_name: gnerf
 mixed_precision: false
 optimizers:
   fields:
@@ -56,10 +56,10 @@ optimizers:
       lr: 0.01
       max_norm: null
       weight_decay: 1.0e-06
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
-      _target: &id002 !!python/name:gnerf.utils.schedulers.ChainedScheduler ''
       gamma: 0.33
-      max_steps: 20000
       milestones: &id003 !!python/tuple
       - 0.5
       - 0.75
@@ -71,10 +71,10 @@ optimizers:
       lr: 0.001
       max_norm: null
       weight_decay: 0
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
-      max_steps: 20000
       milestones: *id003
   means:
     optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
@@ -83,41 +83,48 @@ optimizers:
       lr: 1.0e-05
       max_norm: null
       weight_decay: 0
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
-      max_steps: 20000
       milestones: *id003
 output_dir: !!python/object/apply:pathlib.PosixPath
 - outputs
-pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
-  _target: !!python/name:gnerf.gnerf_pipeline.GNeRFPipeline ''
   datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
     _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
     camera_optimizer: null
     camera_res_scale_factor: 1.0
     collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
     data: *id004
-    dataparser: !!python/object:nerfstudio.data.dataparsers.nerfstudio_dataparser.NerfstudioDataParserConfig
-      _target: !!python/name:nerfstudio.data.dataparsers.nerfstudio_dataparser.Nerfstudio ''
-      auto_scale_poses: true
-      center_method: poses
-      data: !!python/object/apply:pathlib.PosixPath []
-      depth_unit_scale_factor: 0.001
-      downscale_factor: 4
-      eval_interval: 8
-      eval_mode: fraction
-      load_3D_points: true
-      mask_color: null
-      orientation_method: up
       scale_factor: 1.0
-      scene_scale: 1.0
-      train_split_fraction: 0.9
     eval_image_indices: !!python/tuple
     - 0
-    eval_num_images_to_sample_from: -1
     eval_num_rays_per_batch: 4096
-    eval_num_times_to_repeat_images: -1
     images_on_gpu: false
     masks_on_gpu: false
     patch_size: 1
@@ -130,37 +137,39 @@ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
       max_num_iterations: 100
       num_rays_per_batch: 4096
       rejection_sample_mask: false
-    train_num_images_to_sample_from: -1
     train_num_rays_per_batch: 4096
-    train_num_times_to_repeat_images: -1
   max_num_samples_per_ray: 1024
-  model: !!python/object:gnerf.gnerf_model.GNeRFModelConfig
-    _target: !!python/name:gnerf.gnerf_model.GNeRFModel ''
-    alpha_thre: 0.0
     appearance_embedding_dim: 32
-    background_color: random
     collider_params: null
-    cone_angle: 0.00390625
-    densify: true
-    disable_scene_contraction: false
     enable_collider: false
     eval_num_rays_per_chunk: 8192
-    far_plane: 1000.0
     grid_resolution: 128
-    knn_algorithm: !!python/object:gnerf.knn.knn_algorithms.OptixKNNConfig
-      _target: !!python/name:gnerf.knn.knn_algorithms.OptixKNN ''
-      chi_squared_radius: 0.25
       device: cuda
       n_neighbours: 16
     loss_coefficients:
       rgb_loss_coarse: 1.0
       rgb_loss_fine: 1.0
     max_gb: 20
-    near_plane: 0.0
     prompt: null
     prune: true
-    render_step_size: 0.005
-    unfreeze_means: true
     use_appearance_embedding: false
     use_gradient_scaling: true
   target_num_samples: 262144
@@ -168,15 +177,16 @@ project_name: nerfstudio-project
 prompt: null
 pruning_interval: 1000
 pruning_start_step: 1000
-pruning_stop_step: 15000
 relative_model_dir: !!python/object/apply:pathlib.PosixPath
 - nerfstudio_models
 save_only_latest_checkpoint: true
 steps_per_eval_all_images: 25000
 steps_per_eval_batch: 500
 steps_per_eval_image: 500
 steps_per_save: 100
-timestamp: open_scenes_baseline
 unfreeze_means_step: 500
 use_grad_scaler: false
 viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
@@ -187,7 +197,7 @@ viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
   make_share_url: false
   max_num_display_images: 512
   num_rays_per_chunk: 4096
-  quit_on_train_completion: false
   relative_log_filename: viewer_log_filename.txt
   websocket_host: 0.0.0.0
   websocket_port: null

+!!python/object:genie.genie_trainer.GENIETrainerConfig
+_target: !!python/name:genie.genie_trainer.GENIETrainer ''
 data: &id004 !!python/object/apply:pathlib.PosixPath
 - data
 - 360_v2
 - garden
+denisification_interval: 200
+densification_start_step: 1000
+densification_stop_step: 8000
 experiment_name: garden
+freeze_means_step: 15000
 gradient_accumulation_steps: {}
 load_checkpoint: null
 load_config: null
   local_writer: !!python/object:nerfstudio.configs.base_config.LocalWriterConfig
     _target: !!python/name:nerfstudio.utils.writer.LocalWriter ''
     enable: true
+    max_log_size: 0
     stats_to_track: !!python/tuple
     - !!python/object/apply:nerfstudio.utils.writer.EventName
       - Train Iter (time)
   num_devices: 1
   num_machines: 1
   seed: 42
+max_num_iterations: 30000
+method_name: genie
 mixed_precision: false
 optimizers:
   fields:
       lr: 0.01
       max_norm: null
       weight_decay: 1.0e-06
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
+      _target: &id002 !!python/name:genie.utils.schedulers.ChainedScheduler ''
       gamma: 0.33
+      max_steps: 30000
       milestones: &id003 !!python/tuple
       - 0.5
       - 0.75
       lr: 0.001
       max_norm: null
       weight_decay: 0
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
+      max_steps: 30000
       milestones: *id003
   means:
     optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
       lr: 1.0e-05
       max_norm: null
       weight_decay: 0
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
+      max_steps: 30000
+      milestones: *id003
+  quats:
+    optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
+      _target: *id001
+      eps: 1.0e-15
+      lr: 0.001
+      max_norm: null
+      weight_decay: 0
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
+      _target: *id002
+      gamma: 0.33
+      max_steps: 30000
       milestones: *id003
 output_dir: !!python/object/apply:pathlib.PosixPath
 - outputs
+pipeline: !!python/object:genie.genie_pipeline.GENIEPipelineConfig
+  _target: !!python/name:genie.genie_pipeline.GENIEPipeline ''
   datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
     _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
+    cache_images_type: float32
     camera_optimizer: null
     camera_res_scale_factor: 1.0
     collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
     data: *id004
+    dataparser: !!python/object:genie.data.dataparsers.GENIEBlenderDataParserConfig
+      _target: !!python/name:genie.data.dataparsers.GENIEBlender ''
+      alpha_color: white
+      data: !!python/object/apply:pathlib.PosixPath
+      - data
+      - blender
+      - lego
+      ply_path: null
       scale_factor: 1.0
     eval_image_indices: !!python/tuple
     - 0
+    eval_num_images_to_sample_from: .inf
     eval_num_rays_per_batch: 4096
+    eval_num_times_to_repeat_images: .inf
     images_on_gpu: false
     masks_on_gpu: false
     patch_size: 1
       max_num_iterations: 100
       num_rays_per_batch: 4096
       rejection_sample_mask: false
+    train_num_images_to_sample_from: .inf
     train_num_rays_per_batch: 4096
+    train_num_times_to_repeat_images: .inf
   max_num_samples_per_ray: 1024
+  model: !!python/object:genie.genie_model.GENIEModelConfig
+    _target: !!python/name:genie.genie_model.GENIEModel ''
+    alpha_thre: 0.01
     appearance_embedding_dim: 32
+    background_color: white
     collider_params: null
+    cone_angle: 0.0
+    debug_mode: true
+    densify: false
+    disable_scene_contraction: true
     enable_collider: false
     eval_num_rays_per_chunk: 8192
+    far_plane: 6.0
+    grid_levels: 4
     grid_resolution: 128
+    knn_algorithm: !!python/object:genie.knnx.knn_algorithms.OptixKNNConfig
+      _target: !!python/name:genie.knnx.knn_algorithms.OptixKNN ''
+      chi_squared_radius: 2.0
       device: cuda
       n_neighbours: 16
     loss_coefficients:
       rgb_loss_coarse: 1.0
       rgb_loss_fine: 1.0
     max_gb: 20
+    near_plane: 2.0
     prompt: null
     prune: true
+    render_step_size: null
+    unfreeze_means: false
     use_appearance_embedding: false
     use_gradient_scaling: true
   target_num_samples: 262144
 prompt: null
 pruning_interval: 1000
 pruning_start_step: 1000
+pruning_stop_step: 14000
 relative_model_dir: !!python/object/apply:pathlib.PosixPath
 - nerfstudio_models
 save_only_latest_checkpoint: true
+start_paused: false
 steps_per_eval_all_images: 25000
 steps_per_eval_batch: 500
 steps_per_eval_image: 500
 steps_per_save: 100
+timestamp: tests
 unfreeze_means_step: 500
 use_grad_scaler: false
 viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
   make_share_url: false
   max_num_display_images: 512
   num_rays_per_chunk: 4096
+  quit_on_train_completion: true
   relative_log_filename: viewer_log_filename.txt
   websocket_host: 0.0.0.0
   websocket_port: null

configs/hotdog.yml CHANGED Viewed

@@ -1,5 +1,5 @@
-!!python/object:gnerf.gnerf_trainer.GNeRFTrainerConfig
-_target: !!python/name:gnerf.gnerf_trainer.GNeRFTrainer ''
 data: &id004 !!python/object/apply:pathlib.PosixPath
 - data
 - nerf_synthetic
@@ -8,6 +8,7 @@ denisification_interval: 200
 densification_start_step: 1000
 densification_stop_step: 8000
 experiment_name: hotdog
 gradient_accumulation_steps: {}
 load_checkpoint: null
 load_config: null
@@ -44,8 +45,8 @@ machine: !!python/object:nerfstudio.configs.base_config.MachineConfig
   num_devices: 1
   num_machines: 1
   seed: 42
-max_num_iterations: 20000
-method_name: gnerf
 mixed_precision: false
 optimizers:
   fields:
@@ -55,10 +56,10 @@ optimizers:
       lr: 0.01
       max_norm: null
       weight_decay: 1.0e-06
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
-      _target: &id002 !!python/name:gnerf.utils.schedulers.ChainedScheduler ''
       gamma: 0.33
-      max_steps: 20000
       milestones: &id003 !!python/tuple
       - 0.5
       - 0.75
@@ -70,10 +71,10 @@ optimizers:
       lr: 0.001
       max_norm: null
       weight_decay: 0
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
-      max_steps: 20000
       milestones: *id003
   means:
     optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
@@ -82,24 +83,37 @@ optimizers:
       lr: 1.0e-05
       max_norm: null
       weight_decay: 0
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
-      max_steps: 20000
       milestones: *id003
 output_dir: !!python/object/apply:pathlib.PosixPath
 - outputs
-pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
-  _target: !!python/name:gnerf.gnerf_pipeline.GNeRFPipeline ''
   datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
     _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
     camera_optimizer: null
     camera_res_scale_factor: 1.0
     collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
     data: *id004
-    dataparser: !!python/object:gnerf.data.dataparsers.GNeRFBlenderDataParserConfig
-      _target: !!python/name:gnerf.data.dataparsers.GNeRFBlender ''
-      alpha_color: white
       data: !!python/object/apply:pathlib.PosixPath
       - data
       - blender
@@ -108,9 +122,9 @@ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
       scale_factor: 1.0
     eval_image_indices: !!python/tuple
     - 0
-    eval_num_images_to_sample_from: -1
     eval_num_rays_per_batch: 4096
-    eval_num_times_to_repeat_images: -1
     images_on_gpu: false
     masks_on_gpu: false
     patch_size: 1
@@ -123,15 +137,14 @@ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
       max_num_iterations: 100
       num_rays_per_batch: 4096
       rejection_sample_mask: false
-    train_num_images_to_sample_from: -1
     train_num_rays_per_batch: 4096
-    train_num_times_to_repeat_images: -1
   max_num_samples_per_ray: 1024
-  model: !!python/object:gnerf.gnerf_model.GNeRFModelConfig
-    _target: !!python/name:gnerf.gnerf_model.GNeRFModel ''
     alpha_thre: 0.0
-    appearance_embedding_dim: 32
-    background_color: white
     collider_params: null
     cone_angle: 0.0
     densify: true
@@ -139,36 +152,41 @@ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
     enable_collider: false
     eval_num_rays_per_chunk: 8192
     far_plane: 6.0
     grid_resolution: 128
-    knn_algorithm: !!python/object:gnerf.knn.knn_algorithms.OptixKNNConfig
-      _target: !!python/name:gnerf.knn.knn_algorithms.OptixKNN ''
       chi_squared_radius: 2.0
       device: cuda
-      n_neighbours: 32
     loss_coefficients:
       rgb_loss_coarse: 1.0
       rgb_loss_fine: 1.0
-    max_gb: 20
     near_plane: 2.0
     prompt: null
     prune: true
-    render_step_size: 0.005
-    use_appearance_embedding: false
     use_gradient_scaling: true
-  target_num_samples: 262144
 project_name: nerfstudio-project
 prompt: null
 pruning_interval: 1000
 pruning_start_step: 1000
-pruning_stop_step: 15000
 relative_model_dir: !!python/object/apply:pathlib.PosixPath
 - nerfstudio_models
 save_only_latest_checkpoint: true
 steps_per_eval_all_images: 25000
 steps_per_eval_batch: 500
 steps_per_eval_image: 500
 steps_per_save: 100
-timestamp: hash_as_means_unfreezed_10k_lr_1e-5_densify_10k_100_prune
 use_grad_scaler: false
 viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
   camera_frustum_scale: 0.1

+!!python/object:genie.genie_trainer.GenieTrainerConfig
+_target: !!python/name:genie.genie_trainer.GenieTrainer ''
 data: &id004 !!python/object/apply:pathlib.PosixPath
 - data
 - nerf_synthetic
 densification_start_step: 1000
 densification_stop_step: 8000
 experiment_name: hotdog
+freeze_means_step: 15000
 gradient_accumulation_steps: {}
 load_checkpoint: null
 load_config: null
   num_devices: 1
   num_machines: 1
   seed: 42
+max_num_iterations: 30000
+method_name: genie
 mixed_precision: false
 optimizers:
   fields:
       lr: 0.01
       max_norm: null
       weight_decay: 1.0e-06
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
+      _target: &id002 !!python/name:genie.utils.schedulers.ChainedScheduler ''
       gamma: 0.33
+      max_steps: 30000
       milestones: &id003 !!python/tuple
       - 0.5
       - 0.75
       lr: 0.001
       max_norm: null
       weight_decay: 0
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
+      max_steps: 30000
       milestones: *id003
   means:
     optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
       lr: 1.0e-05
       max_norm: null
       weight_decay: 0
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
+      max_steps: 30000
+      milestones: *id003
+  quats:
+    optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
+      _target: *id001
+      eps: 1.0e-15
+      lr: 0.001
+      max_norm: null
+      weight_decay: 0
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
+      _target: *id002
+      gamma: 0.33
+      max_steps: 30000
       milestones: *id003
 output_dir: !!python/object/apply:pathlib.PosixPath
 - outputs
+pipeline: !!python/object:genie.genie_pipeline.GeniePipelineConfig
+  _target: !!python/name:genie.genie_pipeline.GeniePipeline ''
   datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
     _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
+    cache_images_type: float32
     camera_optimizer: null
     camera_res_scale_factor: 1.0
     collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
     data: *id004
+    dataparser: !!python/object:genie.data.dataparsers.GenieBlenderDataParserConfig
+      _target: !!python/name:genie.data.dataparsers.GenieBlender ''
+      alpha_color: black
       data: !!python/object/apply:pathlib.PosixPath
       - data
       - blender
       scale_factor: 1.0
     eval_image_indices: !!python/tuple
     - 0
+    eval_num_images_to_sample_from: .inf
     eval_num_rays_per_batch: 4096
+    eval_num_times_to_repeat_images: .inf
     images_on_gpu: false
     masks_on_gpu: false
     patch_size: 1
       max_num_iterations: 100
       num_rays_per_batch: 4096
       rejection_sample_mask: false
+    train_num_images_to_sample_from: .inf
     train_num_rays_per_batch: 4096
+    train_num_times_to_repeat_images: .inf
   max_num_samples_per_ray: 1024
+  model: !!python/object:genie.genie_model.GenieModelConfig
+    _target: !!python/name:genie.genie_model.GenieModel ''
     alpha_thre: 0.0
+    background_color: black
     collider_params: null
     cone_angle: 0.0
     densify: true
     enable_collider: false
     eval_num_rays_per_chunk: 8192
     far_plane: 6.0
+    grid_levels: 1
     grid_resolution: 128
+    knn_algorithm: !!python/object:genie.knnx.knn_algorithms.OptixKNNConfig
+      _target: !!python/name:genie.knnx.knn_algorithms.OptixKNN ''
       chi_squared_radius: 2.0
       device: cuda
+      n_neighbours: 16
     loss_coefficients:
       rgb_loss_coarse: 1.0
       rgb_loss_fine: 1.0
+    max_gb: 28
     near_plane: 2.0
     prompt: null
     prune: true
+    render_step_size: 0.003
+    unfreeze_means: true
     use_gradient_scaling: true
+    visualize_gaussians: false
+    visualize_occupancy_grid: false
+  target_num_samples: 524288
 project_name: nerfstudio-project
 prompt: null
 pruning_interval: 1000
 pruning_start_step: 1000
+pruning_stop_step: 14000
 relative_model_dir: !!python/object/apply:pathlib.PosixPath
 - nerfstudio_models
 save_only_latest_checkpoint: true
+start_paused: false
 steps_per_eval_all_images: 25000
 steps_per_eval_batch: 500
 steps_per_eval_image: 500
 steps_per_save: 100
+timestamp: final_black
+unfreeze_means_step: 500
 use_grad_scaler: false
 viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
   camera_frustum_scale: 0.1

configs/kitchen.yml CHANGED Viewed

@@ -1,14 +1,14 @@
-!!python/object:gnerf.gnerf_trainer.GNeRFTrainerConfig
-_target: !!python/name:gnerf.gnerf_trainer.GNeRFTrainer ''
 data: &id004 !!python/object/apply:pathlib.PosixPath
 - data
 - 360_v2
 - kitchen
-denisification_interval: 100
-densification_start_step: 100
-densification_stop_step: 10000
 experiment_name: kitchen
-freeze_means_step: 10000
 gradient_accumulation_steps: {}
 load_checkpoint: null
 load_config: null
@@ -45,8 +45,8 @@ machine: !!python/object:nerfstudio.configs.base_config.MachineConfig
   num_devices: 1
   num_machines: 1
   seed: 42
-max_num_iterations: 20000
-method_name: gnerf
 mixed_precision: false
 optimizers:
   fields:
@@ -56,10 +56,10 @@ optimizers:
       lr: 0.01
       max_norm: null
       weight_decay: 1.0e-06
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
-      _target: &id002 !!python/name:gnerf.utils.schedulers.ChainedScheduler ''
       gamma: 0.33
-      max_steps: 20000
       milestones: &id003 !!python/tuple
       - 0.5
       - 0.75
@@ -71,10 +71,10 @@ optimizers:
       lr: 0.001
       max_norm: null
       weight_decay: 0
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
-      max_steps: 20000
       milestones: *id003
   means:
     optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
@@ -83,28 +83,41 @@ optimizers:
       lr: 1.0e-05
       max_norm: null
       weight_decay: 0
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
-      max_steps: 20000
       milestones: *id003
 output_dir: !!python/object/apply:pathlib.PosixPath
 - outputs
-pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
-  _target: !!python/name:gnerf.gnerf_pipeline.GNeRFPipeline ''
   datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
     _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
     camera_optimizer: null
     camera_res_scale_factor: 1.0
     collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
     data: *id004
-    dataparser: !!python/object:nerfstudio.data.dataparsers.nerfstudio_dataparser.NerfstudioDataParserConfig
-      _target: !!python/name:nerfstudio.data.dataparsers.nerfstudio_dataparser.Nerfstudio ''
       auto_scale_poses: true
       center_method: poses
       data: !!python/object/apply:pathlib.PosixPath []
       depth_unit_scale_factor: 0.001
-      downscale_factor: 4
       eval_interval: 8
       eval_mode: fraction
       load_3D_points: true
@@ -115,9 +128,9 @@ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
       train_split_fraction: 0.9
     eval_image_indices: !!python/tuple
     - 0
-    eval_num_images_to_sample_from: -1
     eval_num_rays_per_batch: 4096
-    eval_num_times_to_repeat_images: -1
     images_on_gpu: false
     masks_on_gpu: false
     patch_size: 1
@@ -130,53 +143,55 @@ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
       max_num_iterations: 100
       num_rays_per_batch: 4096
       rejection_sample_mask: false
-    train_num_images_to_sample_from: -1
     train_num_rays_per_batch: 4096
-    train_num_times_to_repeat_images: -1
   max_num_samples_per_ray: 1024
-  model: !!python/object:gnerf.gnerf_model.GNeRFModelConfig
-    _target: !!python/name:gnerf.gnerf_model.GNeRFModel ''
-    alpha_thre: 0.0
-    appearance_embedding_dim: 32
     background_color: random
     collider_params: null
     cone_angle: 0.00390625
-    densify: true
     disable_scene_contraction: false
     enable_collider: false
     eval_num_rays_per_chunk: 8192
     far_plane: 1000.0
     grid_resolution: 128
-    knn_algorithm: !!python/object:gnerf.knn.knn_algorithms.OptixKNNConfig
-      _target: !!python/name:gnerf.knn.knn_algorithms.OptixKNN ''
-      chi_squared_radius: 0.25
       device: cuda
       n_neighbours: 16
     loss_coefficients:
       rgb_loss_coarse: 1.0
       rgb_loss_fine: 1.0
     max_gb: 20
-    near_plane: 0.0
     prompt: null
-    prune: true
-    render_step_size: 0.005
-    unfreeze_means: true
-    use_appearance_embedding: false
     use_gradient_scaling: true
-  target_num_samples: 262144
 project_name: nerfstudio-project
 prompt: null
 pruning_interval: 1000
 pruning_start_step: 1000
-pruning_stop_step: 15000
 relative_model_dir: !!python/object/apply:pathlib.PosixPath
 - nerfstudio_models
 save_only_latest_checkpoint: true
 steps_per_eval_all_images: 25000
 steps_per_eval_batch: 500
 steps_per_eval_image: 500
 steps_per_save: 100
-timestamp: open_scenes_baseline
 unfreeze_means_step: 500
 use_grad_scaler: false
 viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
@@ -187,7 +202,7 @@ viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
   make_share_url: false
   max_num_display_images: 512
   num_rays_per_chunk: 4096
-  quit_on_train_completion: false
   relative_log_filename: viewer_log_filename.txt
   websocket_host: 0.0.0.0
   websocket_port: null

+!!python/object:genie.genie_trainer.GenieTrainerConfig
+_target: !!python/name:genie.genie_trainer.GenieTrainer ''
 data: &id004 !!python/object/apply:pathlib.PosixPath
 - data
 - 360_v2
 - kitchen
+denisification_interval: 200
+densification_start_step: 1000
+densification_stop_step: 8000
 experiment_name: kitchen
+freeze_means_step: 15000
 gradient_accumulation_steps: {}
 load_checkpoint: null
 load_config: null
   num_devices: 1
   num_machines: 1
   seed: 42
+max_num_iterations: 30000
+method_name: genie-real
 mixed_precision: false
 optimizers:
   fields:
       lr: 0.01
       max_norm: null
       weight_decay: 1.0e-06
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
+      _target: &id002 !!python/name:genie.utils.schedulers.ChainedScheduler ''
       gamma: 0.33
+      max_steps: 30000
       milestones: &id003 !!python/tuple
       - 0.5
       - 0.75
       lr: 0.001
       max_norm: null
       weight_decay: 0
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
+      max_steps: 30000
       milestones: *id003
   means:
     optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
       lr: 1.0e-05
       max_norm: null
       weight_decay: 0
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
+      max_steps: 30000
+      milestones: *id003
+  quats:
+    optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
+      _target: *id001
+      eps: 1.0e-15
+      lr: 0.001
+      max_norm: null
+      weight_decay: 0
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
+      _target: *id002
+      gamma: 0.33
+      max_steps: 30000
       milestones: *id003
 output_dir: !!python/object/apply:pathlib.PosixPath
 - outputs
+pipeline: !!python/object:genie.genie_pipeline.GeniePipelineConfig
+  _target: !!python/name:genie.genie_pipeline.GeniePipeline ''
   datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
     _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
+    cache_images_type: float32
     camera_optimizer: null
     camera_res_scale_factor: 1.0
     collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
     data: *id004
+    dataparser: !!python/object:genie.data.dataparsers.GenieNerfstudioDataParserConfig
+      _target: !!python/name:genie.data.dataparsers.GenieNerfstudio ''
       auto_scale_poses: true
       center_method: poses
       data: !!python/object/apply:pathlib.PosixPath []
       depth_unit_scale_factor: 0.001
+      downscale_factor: null
       eval_interval: 8
       eval_mode: fraction
       load_3D_points: true
       train_split_fraction: 0.9
     eval_image_indices: !!python/tuple
     - 0
+    eval_num_images_to_sample_from: .inf
     eval_num_rays_per_batch: 4096
+    eval_num_times_to_repeat_images: .inf
     images_on_gpu: false
     masks_on_gpu: false
     patch_size: 1
       max_num_iterations: 100
       num_rays_per_batch: 4096
       rejection_sample_mask: false
+    train_num_images_to_sample_from: .inf
     train_num_rays_per_batch: 4096
+    train_num_times_to_repeat_images: .inf
   max_num_samples_per_ray: 1024
+  model: !!python/object:genie.genie_model.GenieModelConfig
+    _target: !!python/name:genie.genie_model.GenieModel ''
+    alpha_thre: 0.01
     background_color: random
     collider_params: null
     cone_angle: 0.00390625
+    densify: false
     disable_scene_contraction: false
     enable_collider: false
     eval_num_rays_per_chunk: 8192
     far_plane: 1000.0
+    grid_levels: 4
     grid_resolution: 128
+    knn_algorithm: !!python/object:genie.knnx.knn_algorithms.OptixKNNConfig
+      _target: !!python/name:genie.knnx.knn_algorithms.OptixKNN ''
+      chi_squared_radius: 120.0
       device: cuda
       n_neighbours: 16
     loss_coefficients:
       rgb_loss_coarse: 1.0
       rgb_loss_fine: 1.0
     max_gb: 20
+    near_plane: 0.05
     prompt: null
+    prune: false
+    render_step_size: null
+    unfreeze_means: false
     use_gradient_scaling: true
+    visualize_gaussians: false
+    visualize_occupancy_grid: false
+  target_num_samples: 131072
 project_name: nerfstudio-project
 prompt: null
 pruning_interval: 1000
 pruning_start_step: 1000
+pruning_stop_step: 14000
 relative_model_dir: !!python/object/apply:pathlib.PosixPath
 - nerfstudio_models
 save_only_latest_checkpoint: true
+start_paused: false
 steps_per_eval_all_images: 25000
 steps_per_eval_batch: 500
 steps_per_eval_image: 500
 steps_per_save: 100
+timestamp: final
 unfreeze_means_step: 500
 use_grad_scaler: false
 viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
   make_share_url: false
   max_num_display_images: 512
   num_rays_per_chunk: 4096
+  quit_on_train_completion: true
   relative_log_filename: viewer_log_filename.txt
   websocket_host: 0.0.0.0
   websocket_port: null

configs/lego.yml CHANGED Viewed

@@ -1,5 +1,5 @@
-!!python/object:gnerf.gnerf_trainer.GNeRFTrainerConfig
-_target: !!python/name:gnerf.gnerf_trainer.GNeRFTrainer ''
 data: &id004 !!python/object/apply:pathlib.PosixPath
 - data
 - nerf_synthetic
@@ -8,6 +8,7 @@ denisification_interval: 200
 densification_start_step: 1000
 densification_stop_step: 8000
 experiment_name: lego
 gradient_accumulation_steps: {}
 load_checkpoint: null
 load_config: null
@@ -44,8 +45,8 @@ machine: !!python/object:nerfstudio.configs.base_config.MachineConfig
   num_devices: 1
   num_machines: 1
   seed: 42
-max_num_iterations: 20000
-method_name: gnerf
 mixed_precision: false
 optimizers:
   fields:
@@ -55,10 +56,10 @@ optimizers:
       lr: 0.01
       max_norm: null
       weight_decay: 1.0e-06
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
-      _target: &id002 !!python/name:gnerf.utils.schedulers.ChainedScheduler ''
       gamma: 0.33
-      max_steps: 20000
       milestones: &id003 !!python/tuple
       - 0.5
       - 0.75
@@ -70,10 +71,10 @@ optimizers:
       lr: 0.001
       max_norm: null
       weight_decay: 0
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
-      max_steps: 20000
       milestones: *id003
   means:
     optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
@@ -82,24 +83,37 @@ optimizers:
       lr: 1.0e-05
       max_norm: null
       weight_decay: 0
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
-      max_steps: 20000
       milestones: *id003
 output_dir: !!python/object/apply:pathlib.PosixPath
 - outputs
-pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
-  _target: !!python/name:gnerf.gnerf_pipeline.GNeRFPipeline ''
   datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
     _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
     camera_optimizer: null
     camera_res_scale_factor: 1.0
     collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
     data: *id004
-    dataparser: !!python/object:gnerf.data.dataparsers.GNeRFBlenderDataParserConfig
-      _target: !!python/name:gnerf.data.dataparsers.GNeRFBlender ''
-      alpha_color: white
       data: !!python/object/apply:pathlib.PosixPath
       - data
       - blender
@@ -108,9 +122,9 @@ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
       scale_factor: 1.0
     eval_image_indices: !!python/tuple
     - 0
-    eval_num_images_to_sample_from: -1
     eval_num_rays_per_batch: 4096
-    eval_num_times_to_repeat_images: -1
     images_on_gpu: false
     masks_on_gpu: false
     patch_size: 1
@@ -123,15 +137,14 @@ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
       max_num_iterations: 100
       num_rays_per_batch: 4096
       rejection_sample_mask: false
-    train_num_images_to_sample_from: -1
     train_num_rays_per_batch: 4096
-    train_num_times_to_repeat_images: -1
   max_num_samples_per_ray: 1024
-  model: !!python/object:gnerf.gnerf_model.GNeRFModelConfig
-    _target: !!python/name:gnerf.gnerf_model.GNeRFModel ''
     alpha_thre: 0.0
-    appearance_embedding_dim: 32
-    background_color: white
     collider_params: null
     cone_angle: 0.0
     densify: true
@@ -139,36 +152,41 @@ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
     enable_collider: false
     eval_num_rays_per_chunk: 8192
     far_plane: 6.0
     grid_resolution: 128
-    knn_algorithm: !!python/object:gnerf.knn.knn_algorithms.OptixKNNConfig
-      _target: !!python/name:gnerf.knn.knn_algorithms.OptixKNN ''
       chi_squared_radius: 2.0
       device: cuda
-      n_neighbours: 32
     loss_coefficients:
       rgb_loss_coarse: 1.0
       rgb_loss_fine: 1.0
-    max_gb: 20
     near_plane: 2.0
     prompt: null
     prune: true
-    render_step_size: 0.005
-    use_appearance_embedding: false
     use_gradient_scaling: true
-  target_num_samples: 262144
 project_name: nerfstudio-project
 prompt: null
 pruning_interval: 1000
 pruning_start_step: 1000
-pruning_stop_step: 15000
 relative_model_dir: !!python/object/apply:pathlib.PosixPath
 - nerfstudio_models
 save_only_latest_checkpoint: true
 steps_per_eval_all_images: 25000
 steps_per_eval_batch: 500
 steps_per_eval_image: 500
 steps_per_save: 100
-timestamp: hash_as_means_unfreezed_10k_lr_1e-5_densify_10k_100_prune
 use_grad_scaler: false
 viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
   camera_frustum_scale: 0.1

+!!python/object:genie.genie_trainer.GenieTrainerConfig
+_target: !!python/name:genie.genie_trainer.GenieTrainer ''
 data: &id004 !!python/object/apply:pathlib.PosixPath
 - data
 - nerf_synthetic
 densification_start_step: 1000
 densification_stop_step: 8000
 experiment_name: lego
+freeze_means_step: 15000
 gradient_accumulation_steps: {}
 load_checkpoint: null
 load_config: null
   num_devices: 1
   num_machines: 1
   seed: 42
+max_num_iterations: 30000
+method_name: genie
 mixed_precision: false
 optimizers:
   fields:
       lr: 0.01
       max_norm: null
       weight_decay: 1.0e-06
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
+      _target: &id002 !!python/name:genie.utils.schedulers.ChainedScheduler ''
       gamma: 0.33
+      max_steps: 30000
       milestones: &id003 !!python/tuple
       - 0.5
       - 0.75
       lr: 0.001
       max_norm: null
       weight_decay: 0
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
+      max_steps: 30000
       milestones: *id003
   means:
     optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
       lr: 1.0e-05
       max_norm: null
       weight_decay: 0
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
+      max_steps: 30000
+      milestones: *id003
+  quats:
+    optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
+      _target: *id001
+      eps: 1.0e-15
+      lr: 0.001
+      max_norm: null
+      weight_decay: 0
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
+      _target: *id002
+      gamma: 0.33
+      max_steps: 30000
       milestones: *id003
 output_dir: !!python/object/apply:pathlib.PosixPath
 - outputs
+pipeline: !!python/object:genie.genie_pipeline.GeniePipelineConfig
+  _target: !!python/name:genie.genie_pipeline.GeniePipeline ''
   datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
     _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
+    cache_images_type: float32
     camera_optimizer: null
     camera_res_scale_factor: 1.0
     collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
     data: *id004
+    dataparser: !!python/object:genie.data.dataparsers.GenieBlenderDataParserConfig
+      _target: !!python/name:genie.data.dataparsers.GenieBlender ''
+      alpha_color: black
       data: !!python/object/apply:pathlib.PosixPath
       - data
       - blender
       scale_factor: 1.0
     eval_image_indices: !!python/tuple
     - 0
+    eval_num_images_to_sample_from: .inf
     eval_num_rays_per_batch: 4096
+    eval_num_times_to_repeat_images: .inf
     images_on_gpu: false
     masks_on_gpu: false
     patch_size: 1
       max_num_iterations: 100
       num_rays_per_batch: 4096
       rejection_sample_mask: false
+    train_num_images_to_sample_from: .inf
     train_num_rays_per_batch: 4096
+    train_num_times_to_repeat_images: .inf
   max_num_samples_per_ray: 1024
+  model: !!python/object:genie.genie_model.GenieModelConfig
+    _target: !!python/name:genie.genie_model.GenieModel ''
     alpha_thre: 0.0
+    background_color: black
     collider_params: null
     cone_angle: 0.0
     densify: true
     enable_collider: false
     eval_num_rays_per_chunk: 8192
     far_plane: 6.0
+    grid_levels: 1
     grid_resolution: 128
+    knn_algorithm: !!python/object:genie.knnx.knn_algorithms.OptixKNNConfig
+      _target: !!python/name:genie.knnx.knn_algorithms.OptixKNN ''
       chi_squared_radius: 2.0
       device: cuda
+      n_neighbours: 16
     loss_coefficients:
       rgb_loss_coarse: 1.0
       rgb_loss_fine: 1.0
+    max_gb: 28
     near_plane: 2.0
     prompt: null
     prune: true
+    render_step_size: 0.003
+    unfreeze_means: true
     use_gradient_scaling: true
+    visualize_gaussians: false
+    visualize_occupancy_grid: false
+  target_num_samples: 524288
 project_name: nerfstudio-project
 prompt: null
 pruning_interval: 1000
 pruning_start_step: 1000
+pruning_stop_step: 14000
 relative_model_dir: !!python/object/apply:pathlib.PosixPath
 - nerfstudio_models
 save_only_latest_checkpoint: true
+start_paused: false
 steps_per_eval_all_images: 25000
 steps_per_eval_batch: 500
 steps_per_eval_image: 500
 steps_per_save: 100
+timestamp: final_black
+unfreeze_means_step: 500
 use_grad_scaler: false
 viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
   camera_frustum_scale: 0.1

configs/materials.yml CHANGED Viewed

@@ -1,5 +1,5 @@
-!!python/object:gnerf.gnerf_trainer.GNeRFTrainerConfig
-_target: !!python/name:gnerf.gnerf_trainer.GNeRFTrainer ''
 data: &id004 !!python/object/apply:pathlib.PosixPath
 - data
 - nerf_synthetic
@@ -8,6 +8,7 @@ denisification_interval: 200
 densification_start_step: 1000
 densification_stop_step: 8000
 experiment_name: materials
 gradient_accumulation_steps: {}
 load_checkpoint: null
 load_config: null
@@ -44,8 +45,8 @@ machine: !!python/object:nerfstudio.configs.base_config.MachineConfig
   num_devices: 1
   num_machines: 1
   seed: 42
-max_num_iterations: 20000
-method_name: gnerf
 mixed_precision: false
 optimizers:
   fields:
@@ -55,10 +56,10 @@ optimizers:
       lr: 0.01
       max_norm: null
       weight_decay: 1.0e-06
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
-      _target: &id002 !!python/name:gnerf.utils.schedulers.ChainedScheduler ''
       gamma: 0.33
-      max_steps: 20000
       milestones: &id003 !!python/tuple
       - 0.5
       - 0.75
@@ -70,10 +71,10 @@ optimizers:
       lr: 0.001
       max_norm: null
       weight_decay: 0
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
-      max_steps: 20000
       milestones: *id003
   means:
     optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
@@ -82,24 +83,37 @@ optimizers:
       lr: 1.0e-05
       max_norm: null
       weight_decay: 0
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
-      max_steps: 20000
       milestones: *id003
 output_dir: !!python/object/apply:pathlib.PosixPath
 - outputs
-pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
-  _target: !!python/name:gnerf.gnerf_pipeline.GNeRFPipeline ''
   datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
     _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
     camera_optimizer: null
     camera_res_scale_factor: 1.0
     collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
     data: *id004
-    dataparser: !!python/object:gnerf.data.dataparsers.GNeRFBlenderDataParserConfig
-      _target: !!python/name:gnerf.data.dataparsers.GNeRFBlender ''
-      alpha_color: white
       data: !!python/object/apply:pathlib.PosixPath
       - data
       - blender
@@ -108,9 +122,9 @@ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
       scale_factor: 1.0
     eval_image_indices: !!python/tuple
     - 0
-    eval_num_images_to_sample_from: -1
     eval_num_rays_per_batch: 4096
-    eval_num_times_to_repeat_images: -1
     images_on_gpu: false
     masks_on_gpu: false
     patch_size: 1
@@ -123,15 +137,14 @@ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
       max_num_iterations: 100
       num_rays_per_batch: 4096
       rejection_sample_mask: false
-    train_num_images_to_sample_from: -1
     train_num_rays_per_batch: 4096
-    train_num_times_to_repeat_images: -1
   max_num_samples_per_ray: 1024
-  model: !!python/object:gnerf.gnerf_model.GNeRFModelConfig
-    _target: !!python/name:gnerf.gnerf_model.GNeRFModel ''
     alpha_thre: 0.0
-    appearance_embedding_dim: 32
-    background_color: white
     collider_params: null
     cone_angle: 0.0
     densify: true
@@ -139,36 +152,41 @@ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
     enable_collider: false
     eval_num_rays_per_chunk: 8192
     far_plane: 6.0
     grid_resolution: 128
-    knn_algorithm: !!python/object:gnerf.knn.knn_algorithms.OptixKNNConfig
-      _target: !!python/name:gnerf.knn.knn_algorithms.OptixKNN ''
       chi_squared_radius: 2.0
       device: cuda
-      n_neighbours: 32
     loss_coefficients:
       rgb_loss_coarse: 1.0
       rgb_loss_fine: 1.0
-    max_gb: 20
     near_plane: 2.0
     prompt: null
     prune: true
-    render_step_size: 0.005
-    use_appearance_embedding: false
     use_gradient_scaling: true
-  target_num_samples: 262144
 project_name: nerfstudio-project
 prompt: null
 pruning_interval: 1000
 pruning_start_step: 1000
-pruning_stop_step: 15000
 relative_model_dir: !!python/object/apply:pathlib.PosixPath
 - nerfstudio_models
 save_only_latest_checkpoint: true
 steps_per_eval_all_images: 25000
 steps_per_eval_batch: 500
 steps_per_eval_image: 500
 steps_per_save: 100
-timestamp: hash_as_means_unfreezed_10k_lr_1e-5_densify_10k_100_prune
 use_grad_scaler: false
 viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
   camera_frustum_scale: 0.1

+!!python/object:genie.genie_trainer.GenieTrainerConfig
+_target: !!python/name:genie.genie_trainer.GenieTrainer ''
 data: &id004 !!python/object/apply:pathlib.PosixPath
 - data
 - nerf_synthetic
 densification_start_step: 1000
 densification_stop_step: 8000
 experiment_name: materials
+freeze_means_step: 15000
 gradient_accumulation_steps: {}
 load_checkpoint: null
 load_config: null
   num_devices: 1
   num_machines: 1
   seed: 42
+max_num_iterations: 30000
+method_name: genie
 mixed_precision: false
 optimizers:
   fields:
       lr: 0.01
       max_norm: null
       weight_decay: 1.0e-06
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
+      _target: &id002 !!python/name:genie.utils.schedulers.ChainedScheduler ''
       gamma: 0.33
+      max_steps: 30000
       milestones: &id003 !!python/tuple
       - 0.5
       - 0.75
       lr: 0.001
       max_norm: null
       weight_decay: 0
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
+      max_steps: 30000
       milestones: *id003
   means:
     optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
       lr: 1.0e-05
       max_norm: null
       weight_decay: 0
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
+      max_steps: 30000
+      milestones: *id003
+  quats:
+    optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
+      _target: *id001
+      eps: 1.0e-15
+      lr: 0.001
+      max_norm: null
+      weight_decay: 0
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
+      _target: *id002
+      gamma: 0.33
+      max_steps: 30000
       milestones: *id003
 output_dir: !!python/object/apply:pathlib.PosixPath
 - outputs
+pipeline: !!python/object:genie.genie_pipeline.GeniePipelineConfig
+  _target: !!python/name:genie.genie_pipeline.GeniePipeline ''
   datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
     _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
+    cache_images_type: float32
     camera_optimizer: null
     camera_res_scale_factor: 1.0
     collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
     data: *id004
+    dataparser: !!python/object:genie.data.dataparsers.GenieBlenderDataParserConfig
+      _target: !!python/name:genie.data.dataparsers.GenieBlender ''
+      alpha_color: black
       data: !!python/object/apply:pathlib.PosixPath
       - data
       - blender
       scale_factor: 1.0
     eval_image_indices: !!python/tuple
     - 0
+    eval_num_images_to_sample_from: .inf
     eval_num_rays_per_batch: 4096
+    eval_num_times_to_repeat_images: .inf
     images_on_gpu: false
     masks_on_gpu: false
     patch_size: 1
       max_num_iterations: 100
       num_rays_per_batch: 4096
       rejection_sample_mask: false
+    train_num_images_to_sample_from: .inf
     train_num_rays_per_batch: 4096
+    train_num_times_to_repeat_images: .inf
   max_num_samples_per_ray: 1024
+  model: !!python/object:genie.genie_model.GenieModelConfig
+    _target: !!python/name:genie.genie_model.GenieModel ''
     alpha_thre: 0.0
+    background_color: black
     collider_params: null
     cone_angle: 0.0
     densify: true
     enable_collider: false
     eval_num_rays_per_chunk: 8192
     far_plane: 6.0
+    grid_levels: 1
     grid_resolution: 128
+    knn_algorithm: !!python/object:genie.knnx.knn_algorithms.OptixKNNConfig
+      _target: !!python/name:genie.knnx.knn_algorithms.OptixKNN ''
       chi_squared_radius: 2.0
       device: cuda
+      n_neighbours: 16
     loss_coefficients:
       rgb_loss_coarse: 1.0
       rgb_loss_fine: 1.0
+    max_gb: 28
     near_plane: 2.0
     prompt: null
     prune: true
+    render_step_size: 0.003
+    unfreeze_means: true
     use_gradient_scaling: true
+    visualize_gaussians: false
+    visualize_occupancy_grid: false
+  target_num_samples: 524288
 project_name: nerfstudio-project
 prompt: null
 pruning_interval: 1000
 pruning_start_step: 1000
+pruning_stop_step: 14000
 relative_model_dir: !!python/object/apply:pathlib.PosixPath
 - nerfstudio_models
 save_only_latest_checkpoint: true
+start_paused: false
 steps_per_eval_all_images: 25000
 steps_per_eval_batch: 500
 steps_per_eval_image: 500
 steps_per_save: 100
+timestamp: final_black
+unfreeze_means_step: 500
 use_grad_scaler: false
 viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
   camera_frustum_scale: 0.1

configs/mic.yml CHANGED Viewed

@@ -1,5 +1,5 @@
-!!python/object:gnerf.gnerf_trainer.GNeRFTrainerConfig
-_target: !!python/name:gnerf.gnerf_trainer.GNeRFTrainer ''
 data: &id004 !!python/object/apply:pathlib.PosixPath
 - data
 - nerf_synthetic
@@ -8,6 +8,7 @@ denisification_interval: 200
 densification_start_step: 1000
 densification_stop_step: 8000
 experiment_name: mic
 gradient_accumulation_steps: {}
 load_checkpoint: null
 load_config: null
@@ -44,8 +45,8 @@ machine: !!python/object:nerfstudio.configs.base_config.MachineConfig
   num_devices: 1
   num_machines: 1
   seed: 42
-max_num_iterations: 20000
-method_name: gnerf
 mixed_precision: false
 optimizers:
   fields:
@@ -55,10 +56,10 @@ optimizers:
       lr: 0.01
       max_norm: null
       weight_decay: 1.0e-06
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
-      _target: &id002 !!python/name:gnerf.utils.schedulers.ChainedScheduler ''
       gamma: 0.33
-      max_steps: 20000
       milestones: &id003 !!python/tuple
       - 0.5
       - 0.75
@@ -70,10 +71,10 @@ optimizers:
       lr: 0.001
       max_norm: null
       weight_decay: 0
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
-      max_steps: 20000
       milestones: *id003
   means:
     optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
@@ -82,24 +83,37 @@ optimizers:
       lr: 1.0e-05
       max_norm: null
       weight_decay: 0
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
-      max_steps: 20000
       milestones: *id003
 output_dir: !!python/object/apply:pathlib.PosixPath
 - outputs
-pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
-  _target: !!python/name:gnerf.gnerf_pipeline.GNeRFPipeline ''
   datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
     _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
     camera_optimizer: null
     camera_res_scale_factor: 1.0
     collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
     data: *id004
-    dataparser: !!python/object:gnerf.data.dataparsers.GNeRFBlenderDataParserConfig
-      _target: !!python/name:gnerf.data.dataparsers.GNeRFBlender ''
-      alpha_color: white
       data: !!python/object/apply:pathlib.PosixPath
       - data
       - blender
@@ -108,9 +122,9 @@ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
       scale_factor: 1.0
     eval_image_indices: !!python/tuple
     - 0
-    eval_num_images_to_sample_from: -1
-    eval_num_rays_per_batch: 4096
-    eval_num_times_to_repeat_images: -1
     images_on_gpu: false
     masks_on_gpu: false
     patch_size: 1
@@ -123,52 +137,56 @@ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
       max_num_iterations: 100
       num_rays_per_batch: 4096
       rejection_sample_mask: false
-    train_num_images_to_sample_from: -1
     train_num_rays_per_batch: 4096
-    train_num_times_to_repeat_images: -1
   max_num_samples_per_ray: 1024
-  model: !!python/object:gnerf.gnerf_model.GNeRFModelConfig
-    _target: !!python/name:gnerf.gnerf_model.GNeRFModel ''
     alpha_thre: 0.0
-    appearance_embedding_dim: 32
-    background_color: white
     collider_params: null
     cone_angle: 0.0
     densify: true
     disable_scene_contraction: true
     enable_collider: false
-    eval_num_rays_per_chunk: 8192
     far_plane: 6.0
     grid_resolution: 128
-    knn_algorithm: !!python/object:gnerf.knn.knn_algorithms.OptixKNNConfig
-      _target: !!python/name:gnerf.knn.knn_algorithms.OptixKNN ''
       chi_squared_radius: 2.0
       device: cuda
-      n_neighbours: 32
     loss_coefficients:
       rgb_loss_coarse: 1.0
       rgb_loss_fine: 1.0
-    max_gb: 20
     near_plane: 2.0
     prompt: null
     prune: true
-    render_step_size: 0.005
-    use_appearance_embedding: false
     use_gradient_scaling: true
-  target_num_samples: 262144
 project_name: nerfstudio-project
 prompt: null
 pruning_interval: 1000
 pruning_start_step: 1000
-pruning_stop_step: 15000
 relative_model_dir: !!python/object/apply:pathlib.PosixPath
 - nerfstudio_models
 save_only_latest_checkpoint: true
 steps_per_eval_all_images: 25000
 steps_per_eval_batch: 500
 steps_per_eval_image: 500
 steps_per_save: 100
-timestamp: hash_as_means_unfreezed_10k_lr_1e-5_densify_10k_100_prune
 use_grad_scaler: false
 viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
   camera_frustum_scale: 0.1

+!!python/object:genie.genie_trainer.GenieTrainerConfig
+_target: !!python/name:genie.genie_trainer.GenieTrainer ''
 data: &id004 !!python/object/apply:pathlib.PosixPath
 - data
 - nerf_synthetic
 densification_start_step: 1000
 densification_stop_step: 8000
 experiment_name: mic
+freeze_means_step: 15000
 gradient_accumulation_steps: {}
 load_checkpoint: null
 load_config: null
   num_devices: 1
   num_machines: 1
   seed: 42
+max_num_iterations: 30000
+method_name: genie
 mixed_precision: false
 optimizers:
   fields:
       lr: 0.01
       max_norm: null
       weight_decay: 1.0e-06
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
+      _target: &id002 !!python/name:genie.utils.schedulers.ChainedScheduler ''
       gamma: 0.33
+      max_steps: 30000
       milestones: &id003 !!python/tuple
       - 0.5
       - 0.75
       lr: 0.001
       max_norm: null
       weight_decay: 0
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
+      max_steps: 30000
       milestones: *id003
   means:
     optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
       lr: 1.0e-05
       max_norm: null
       weight_decay: 0
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
+      max_steps: 30000
+      milestones: *id003
+  quats:
+    optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
+      _target: *id001
+      eps: 1.0e-15
+      lr: 0.001
+      max_norm: null
+      weight_decay: 0
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
+      _target: *id002
+      gamma: 0.33
+      max_steps: 30000
       milestones: *id003
 output_dir: !!python/object/apply:pathlib.PosixPath
 - outputs
+pipeline: !!python/object:genie.genie_pipeline.GeniePipelineConfig
+  _target: !!python/name:genie.genie_pipeline.GeniePipeline ''
   datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
     _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
+    cache_images_type: float32
     camera_optimizer: null
     camera_res_scale_factor: 1.0
     collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
     data: *id004
+    dataparser: !!python/object:genie.data.dataparsers.GenieBlenderDataParserConfig
+      _target: !!python/name:genie.data.dataparsers.GenieBlender ''
+      alpha_color: black
       data: !!python/object/apply:pathlib.PosixPath
       - data
       - blender
       scale_factor: 1.0
     eval_image_indices: !!python/tuple
     - 0
+    eval_num_images_to_sample_from: .inf
+    eval_num_rays_per_batch: 1024
+    eval_num_times_to_repeat_images: .inf
     images_on_gpu: false
     masks_on_gpu: false
     patch_size: 1
       max_num_iterations: 100
       num_rays_per_batch: 4096
       rejection_sample_mask: false
+    train_num_images_to_sample_from: .inf
     train_num_rays_per_batch: 4096
+    train_num_times_to_repeat_images: .inf
   max_num_samples_per_ray: 1024
+  model: !!python/object:genie.genie_model.GenieModelConfig
+    _target: !!python/name:genie.genie_model.GenieModel ''
     alpha_thre: 0.0
+    background_color: black
     collider_params: null
     cone_angle: 0.0
     densify: true
     disable_scene_contraction: true
     enable_collider: false
+    eval_num_rays_per_chunk: 1024
     far_plane: 6.0
+    grid_levels: 1
     grid_resolution: 128
+    knn_algorithm: !!python/object:genie.knnx.knn_algorithms.OptixKNNConfig
+      _target: !!python/name:genie.knnx.knn_algorithms.OptixKNN ''
       chi_squared_radius: 2.0
       device: cuda
+      n_neighbours: 16
     loss_coefficients:
       rgb_loss_coarse: 1.0
       rgb_loss_fine: 1.0
+    max_gb: 28
     near_plane: 2.0
     prompt: null
     prune: true
+    render_step_size: 0.003
+    unfreeze_means: true
     use_gradient_scaling: true
+    visualize_gaussians: false
+    visualize_occupancy_grid: false
+  target_num_samples: 524288
 project_name: nerfstudio-project
 prompt: null
 pruning_interval: 1000
 pruning_start_step: 1000
+pruning_stop_step: 14000
 relative_model_dir: !!python/object/apply:pathlib.PosixPath
 - nerfstudio_models
 save_only_latest_checkpoint: true
+start_paused: false
 steps_per_eval_all_images: 25000
 steps_per_eval_batch: 500
 steps_per_eval_image: 500
 steps_per_save: 100
+timestamp: final_black
+unfreeze_means_step: 500
 use_grad_scaler: false
 viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
   camera_frustum_scale: 0.1

configs/pillow_duck.yml DELETED Viewed

@@ -1,189 +0,0 @@
-!!python/object:gnerf.gnerf_trainer.GNeRFTrainerConfig
-_target: !!python/name:gnerf.gnerf_trainer.GNeRFTrainer ''
-data: &id004 !!python/object/apply:pathlib.PosixPath
-- data
-- nerf_synthetic
-- pillow_duck
-denisification_interval: 100
-densification_start_step: 100
-densification_stop_step: 10000
-experiment_name: pillow_duck
-freeze_means_step: 10000
-gradient_accumulation_steps: {}
-load_checkpoint: null
-load_config: null
-load_dir: null
-load_scheduler: true
-load_step: null
-log_gradients: false
-logging: !!python/object:nerfstudio.configs.base_config.LoggingConfig
-  local_writer: !!python/object:nerfstudio.configs.base_config.LocalWriterConfig
-    _target: !!python/name:nerfstudio.utils.writer.LocalWriter ''
-    enable: true
-    max_log_size: 10
-    stats_to_track: !!python/tuple
-    - !!python/object/apply:nerfstudio.utils.writer.EventName
-      - Train Iter (time)
-    - !!python/object/apply:nerfstudio.utils.writer.EventName
-      - Train Rays / Sec
-    - !!python/object/apply:nerfstudio.utils.writer.EventName
-      - Test PSNR
-    - !!python/object/apply:nerfstudio.utils.writer.EventName
-      - Vis Rays / Sec
-    - !!python/object/apply:nerfstudio.utils.writer.EventName
-      - Test Rays / Sec
-    - !!python/object/apply:nerfstudio.utils.writer.EventName
-      - ETA (time)
-  max_buffer_size: 20
-  profiler: basic
-  relative_log_dir: !!python/object/apply:pathlib.PosixPath []
-  steps_per_log: 10
-machine: !!python/object:nerfstudio.configs.base_config.MachineConfig
-  device_type: cuda
-  dist_url: auto
-  machine_rank: 0
-  num_devices: 1
-  num_machines: 1
-  seed: 42
-max_num_iterations: 20000
-method_name: gnerf
-mixed_precision: false
-optimizers:
-  fields:
-    optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
-      _target: &id001 !!python/name:torch.optim.adam.Adam ''
-      eps: 1.0e-15
-      lr: 0.01
-      max_norm: null
-      weight_decay: 1.0e-06
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
-      _target: &id002 !!python/name:gnerf.utils.schedulers.ChainedScheduler ''
-      gamma: 0.33
-      max_steps: 20000
-      milestones: &id003 !!python/tuple
-      - 0.5
-      - 0.75
-      - 0.9
-  log_covs:
-    optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
-      _target: *id001
-      eps: 1.0e-15
-      lr: 0.001
-      max_norm: null
-      weight_decay: 0
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
-      _target: *id002
-      gamma: 0.33
-      max_steps: 20000
-      milestones: *id003
-  means:
-    optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
-      _target: *id001
-      eps: 1.0e-15
-      lr: 1.0e-05
-      max_norm: null
-      weight_decay: 0
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
-      _target: *id002
-      gamma: 0.33
-      max_steps: 20000
-      milestones: *id003
-output_dir: !!python/object/apply:pathlib.PosixPath
-- outputs
-pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
-  _target: !!python/name:gnerf.gnerf_pipeline.GNeRFPipeline ''
-  datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
-    _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
-    camera_optimizer: null
-    camera_res_scale_factor: 1.0
-    collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
-    data: *id004
-    dataparser: !!python/object:gnerf.data.dataparsers.GNeRFBlenderDataParserConfig
-      _target: !!python/name:gnerf.data.dataparsers.GNeRFBlender ''
-      alpha_color: white
-      data: !!python/object/apply:pathlib.PosixPath
-      - data
-      - blender
-      - lego
-      ply_path: null
-      scale_factor: 1.0
-    eval_image_indices: !!python/tuple
-    - 0
-    eval_num_images_to_sample_from: -1
-    eval_num_rays_per_batch: 4096
-    eval_num_times_to_repeat_images: -1
-    images_on_gpu: false
-    masks_on_gpu: false
-    patch_size: 1
-    pixel_sampler: !!python/object:nerfstudio.data.pixel_samplers.PixelSamplerConfig
-      _target: !!python/name:nerfstudio.data.pixel_samplers.PixelSampler ''
-      fisheye_crop_radius: null
-      ignore_mask: false
-      is_equirectangular: false
-      keep_full_image: false
-      max_num_iterations: 100
-      num_rays_per_batch: 4096
-      rejection_sample_mask: false
-    train_num_images_to_sample_from: -1
-    train_num_rays_per_batch: 4096
-    train_num_times_to_repeat_images: -1
-  max_num_samples_per_ray: 1024
-  model: !!python/object:gnerf.gnerf_model.GNeRFModelConfig
-    _target: !!python/name:gnerf.gnerf_model.GNeRFModel ''
-    alpha_thre: 0.0
-    appearance_embedding_dim: 32
-    background_color: white
-    collider_params: null
-    cone_angle: 0.0
-    densify: true
-    disable_scene_contraction: true
-    enable_collider: false
-    eval_num_rays_per_chunk: 8192
-    far_plane: 6.0
-    grid_resolution: 128
-    knn_algorithm: !!python/object:gnerf.knn.knn_algorithms.OptixKNNConfig
-      _target: !!python/name:gnerf.knn.knn_algorithms.OptixKNN ''
-      chi_squared_radius: 2.0
-      device: cuda
-      n_neighbours: 16
-    loss_coefficients:
-      rgb_loss_coarse: 1.0
-      rgb_loss_fine: 1.0
-    max_gb: 20
-    near_plane: 2.0
-    prompt: null
-    prune: true
-    render_step_size: 0.005
-    unfreeze_means: true
-    use_appearance_embedding: false
-    use_gradient_scaling: true
-  target_num_samples: 262144
-project_name: nerfstudio-project
-prompt: null
-pruning_interval: 1000
-pruning_start_step: 1000
-pruning_stop_step: 15000
-relative_model_dir: !!python/object/apply:pathlib.PosixPath
-- nerfstudio_models
-save_only_latest_checkpoint: true
-steps_per_eval_all_images: 25000
-steps_per_eval_batch: 500
-steps_per_eval_image: 500
-steps_per_save: 100
-timestamp: pillow_duck
-unfreeze_means_step: 500
-use_grad_scaler: false
-viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
-  camera_frustum_scale: 0.1
-  default_composite_depth: true
-  image_format: jpeg
-  jpeg_quality: 75
-  make_share_url: false
-  max_num_display_images: 512
-  num_rays_per_chunk: 4096
-  quit_on_train_completion: true
-  relative_log_filename: viewer_log_filename.txt
-  websocket_host: 0.0.0.0
-  websocket_port: null
-  websocket_port_default: 7007
-vis: viewer

configs/pirate_flag.yml DELETED Viewed

@@ -1,189 +0,0 @@
-!!python/object:gnerf.gnerf_trainer.GNeRFTrainerConfig
-_target: !!python/name:gnerf.gnerf_trainer.GNeRFTrainer ''
-data: &id004 !!python/object/apply:pathlib.PosixPath
-- data
-- nerf_synthetic
-- pirate_flag
-denisification_interval: 100
-densification_start_step: 100
-densification_stop_step: 2000
-experiment_name: pirate_flag
-freeze_means_step: 10000
-gradient_accumulation_steps: {}
-load_checkpoint: null
-load_config: null
-load_dir: null
-load_scheduler: true
-load_step: null
-log_gradients: false
-logging: !!python/object:nerfstudio.configs.base_config.LoggingConfig
-  local_writer: !!python/object:nerfstudio.configs.base_config.LocalWriterConfig
-    _target: !!python/name:nerfstudio.utils.writer.LocalWriter ''
-    enable: true
-    max_log_size: 10
-    stats_to_track: !!python/tuple
-    - !!python/object/apply:nerfstudio.utils.writer.EventName
-      - Train Iter (time)
-    - !!python/object/apply:nerfstudio.utils.writer.EventName
-      - Train Rays / Sec
-    - !!python/object/apply:nerfstudio.utils.writer.EventName
-      - Test PSNR
-    - !!python/object/apply:nerfstudio.utils.writer.EventName
-      - Vis Rays / Sec
-    - !!python/object/apply:nerfstudio.utils.writer.EventName
-      - Test Rays / Sec
-    - !!python/object/apply:nerfstudio.utils.writer.EventName
-      - ETA (time)
-  max_buffer_size: 20
-  profiler: basic
-  relative_log_dir: !!python/object/apply:pathlib.PosixPath []
-  steps_per_log: 10
-machine: !!python/object:nerfstudio.configs.base_config.MachineConfig
-  device_type: cuda
-  dist_url: auto
-  machine_rank: 0
-  num_devices: 1
-  num_machines: 1
-  seed: 42
-max_num_iterations: 20000
-method_name: gnerf
-mixed_precision: false
-optimizers:
-  fields:
-    optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
-      _target: &id001 !!python/name:torch.optim.adam.Adam ''
-      eps: 1.0e-15
-      lr: 0.01
-      max_norm: null
-      weight_decay: 1.0e-06
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
-      _target: &id002 !!python/name:gnerf.utils.schedulers.ChainedScheduler ''
-      gamma: 0.33
-      max_steps: 20000
-      milestones: &id003 !!python/tuple
-      - 0.5
-      - 0.75
-      - 0.9
-  log_covs:
-    optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
-      _target: *id001
-      eps: 1.0e-15
-      lr: 0.001
-      max_norm: null
-      weight_decay: 0
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
-      _target: *id002
-      gamma: 0.33
-      max_steps: 20000
-      milestones: *id003
-  means:
-    optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
-      _target: *id001
-      eps: 1.0e-15
-      lr: 1.0e-05
-      max_norm: null
-      weight_decay: 0
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
-      _target: *id002
-      gamma: 0.33
-      max_steps: 20000
-      milestones: *id003
-output_dir: !!python/object/apply:pathlib.PosixPath
-- outputs
-pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
-  _target: !!python/name:gnerf.gnerf_pipeline.GNeRFPipeline ''
-  datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
-    _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
-    camera_optimizer: null
-    camera_res_scale_factor: 1.0
-    collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
-    data: *id004
-    dataparser: !!python/object:gnerf.data.dataparsers.GNeRFBlenderDataParserConfig
-      _target: !!python/name:gnerf.data.dataparsers.GNeRFBlender ''
-      alpha_color: white
-      data: !!python/object/apply:pathlib.PosixPath
-      - data
-      - blender
-      - lego
-      ply_path: null
-      scale_factor: 1.0
-    eval_image_indices: !!python/tuple
-    - 0
-    eval_num_images_to_sample_from: -1
-    eval_num_rays_per_batch: 4096
-    eval_num_times_to_repeat_images: -1
-    images_on_gpu: false
-    masks_on_gpu: false
-    patch_size: 1
-    pixel_sampler: !!python/object:nerfstudio.data.pixel_samplers.PixelSamplerConfig
-      _target: !!python/name:nerfstudio.data.pixel_samplers.PixelSampler ''
-      fisheye_crop_radius: null
-      ignore_mask: false
-      is_equirectangular: false
-      keep_full_image: false
-      max_num_iterations: 100
-      num_rays_per_batch: 4096
-      rejection_sample_mask: false
-    train_num_images_to_sample_from: -1
-    train_num_rays_per_batch: 4096
-    train_num_times_to_repeat_images: -1
-  max_num_samples_per_ray: 1024
-  model: !!python/object:gnerf.gnerf_model.GNeRFModelConfig
-    _target: !!python/name:gnerf.gnerf_model.GNeRFModel ''
-    alpha_thre: 0.0
-    appearance_embedding_dim: 32
-    background_color: white
-    collider_params: null
-    cone_angle: 0.0
-    densify: true
-    disable_scene_contraction: true
-    enable_collider: false
-    eval_num_rays_per_chunk: 8192
-    far_plane: 6.0
-    grid_resolution: 128
-    knn_algorithm: !!python/object:gnerf.knn.knn_algorithms.OptixKNNConfig
-      _target: !!python/name:gnerf.knn.knn_algorithms.OptixKNN ''
-      chi_squared_radius: 2.0
-      device: cuda
-      n_neighbours: 16
-    loss_coefficients:
-      rgb_loss_coarse: 1.0
-      rgb_loss_fine: 1.0
-    max_gb: 20
-    near_plane: 2.0
-    prompt: null
-    prune: true
-    render_step_size: 0.005
-    unfreeze_means: true
-    use_appearance_embedding: false
-    use_gradient_scaling: true
-  target_num_samples: 262144
-project_name: nerfstudio-project
-prompt: null
-pruning_interval: 1000
-pruning_start_step: 1000
-pruning_stop_step: 15000
-relative_model_dir: !!python/object/apply:pathlib.PosixPath
-- nerfstudio_models
-save_only_latest_checkpoint: true
-steps_per_eval_all_images: 25000
-steps_per_eval_batch: 500
-steps_per_eval_image: 500
-steps_per_save: 100
-timestamp: pirate_flag
-unfreeze_means_step: 500
-use_grad_scaler: false
-viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
-  camera_frustum_scale: 0.1
-  default_composite_depth: true
-  image_format: jpeg
-  jpeg_quality: 75
-  make_share_url: false
-  max_num_display_images: 512
-  num_rays_per_chunk: 4096
-  quit_on_train_completion: true
-  relative_log_filename: viewer_log_filename.txt
-  websocket_host: 0.0.0.0
-  websocket_port: null
-  websocket_port_default: 7007
-vis: viewer

configs/room.yml CHANGED Viewed

@@ -1,14 +1,14 @@
-!!python/object:gnerf.gnerf_trainer.GNeRFTrainerConfig
-_target: !!python/name:gnerf.gnerf_trainer.GNeRFTrainer ''
 data: &id004 !!python/object/apply:pathlib.PosixPath
 - data
 - 360_v2
 - room
-denisification_interval: 100
-densification_start_step: 100
-densification_stop_step: 10000
 experiment_name: room
-freeze_means_step: 10000
 gradient_accumulation_steps: {}
 load_checkpoint: null
 load_config: null
@@ -45,8 +45,8 @@ machine: !!python/object:nerfstudio.configs.base_config.MachineConfig
   num_devices: 1
   num_machines: 1
   seed: 42
-max_num_iterations: 20000
-method_name: gnerf
 mixed_precision: false
 optimizers:
   fields:
@@ -56,10 +56,10 @@ optimizers:
       lr: 0.01
       max_norm: null
       weight_decay: 1.0e-06
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
-      _target: &id002 !!python/name:gnerf.utils.schedulers.ChainedScheduler ''
       gamma: 0.33
-      max_steps: 20000
       milestones: &id003 !!python/tuple
       - 0.5
       - 0.75
@@ -71,10 +71,10 @@ optimizers:
       lr: 0.001
       max_norm: null
       weight_decay: 0
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
-      max_steps: 20000
       milestones: *id003
   means:
     optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
@@ -83,28 +83,41 @@ optimizers:
       lr: 1.0e-05
       max_norm: null
       weight_decay: 0
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
-      max_steps: 20000
       milestones: *id003
 output_dir: !!python/object/apply:pathlib.PosixPath
 - outputs
-pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
-  _target: !!python/name:gnerf.gnerf_pipeline.GNeRFPipeline ''
   datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
     _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
     camera_optimizer: null
     camera_res_scale_factor: 1.0
     collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
     data: *id004
-    dataparser: !!python/object:nerfstudio.data.dataparsers.nerfstudio_dataparser.NerfstudioDataParserConfig
-      _target: !!python/name:nerfstudio.data.dataparsers.nerfstudio_dataparser.Nerfstudio ''
       auto_scale_poses: true
       center_method: poses
       data: !!python/object/apply:pathlib.PosixPath []
       depth_unit_scale_factor: 0.001
-      downscale_factor: 4
       eval_interval: 8
       eval_mode: fraction
       load_3D_points: true
@@ -115,9 +128,9 @@ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
       train_split_fraction: 0.9
     eval_image_indices: !!python/tuple
     - 0
-    eval_num_images_to_sample_from: -1
-    eval_num_rays_per_batch: 4096
-    eval_num_times_to_repeat_images: -1
     images_on_gpu: false
     masks_on_gpu: false
     patch_size: 1
@@ -130,53 +143,55 @@ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
       max_num_iterations: 100
       num_rays_per_batch: 4096
       rejection_sample_mask: false
-    train_num_images_to_sample_from: -1
     train_num_rays_per_batch: 4096
-    train_num_times_to_repeat_images: -1
   max_num_samples_per_ray: 1024
-  model: !!python/object:gnerf.gnerf_model.GNeRFModelConfig
-    _target: !!python/name:gnerf.gnerf_model.GNeRFModel ''
-    alpha_thre: 0.0
-    appearance_embedding_dim: 32
     background_color: random
     collider_params: null
     cone_angle: 0.00390625
-    densify: true
     disable_scene_contraction: false
     enable_collider: false
-    eval_num_rays_per_chunk: 8192
     far_plane: 1000.0
     grid_resolution: 128
-    knn_algorithm: !!python/object:gnerf.knn.knn_algorithms.OptixKNNConfig
-      _target: !!python/name:gnerf.knn.knn_algorithms.OptixKNN ''
-      chi_squared_radius: 2.0
       device: cuda
       n_neighbours: 16
     loss_coefficients:
       rgb_loss_coarse: 1.0
       rgb_loss_fine: 1.0
     max_gb: 20
-    near_plane: 0.0
     prompt: null
-    prune: true
-    render_step_size: 0.005
-    unfreeze_means: true
-    use_appearance_embedding: false
     use_gradient_scaling: true
-  target_num_samples: 262144
 project_name: nerfstudio-project
 prompt: null
 pruning_interval: 1000
 pruning_start_step: 1000
-pruning_stop_step: 15000
 relative_model_dir: !!python/object/apply:pathlib.PosixPath
 - nerfstudio_models
 save_only_latest_checkpoint: true
 steps_per_eval_all_images: 25000
 steps_per_eval_batch: 500
 steps_per_eval_image: 500
 steps_per_save: 100
-timestamp: open_scenes_baseline
 unfreeze_means_step: 500
 use_grad_scaler: false
 viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
@@ -187,7 +202,7 @@ viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
   make_share_url: false
   max_num_display_images: 512
   num_rays_per_chunk: 4096
-  quit_on_train_completion: false
   relative_log_filename: viewer_log_filename.txt
   websocket_host: 0.0.0.0
   websocket_port: null

+!!python/object:genie.genie_trainer.GenieTrainerConfig
+_target: !!python/name:genie.genie_trainer.GenieTrainer ''
 data: &id004 !!python/object/apply:pathlib.PosixPath
 - data
 - 360_v2
 - room
+denisification_interval: 200
+densification_start_step: 1000
+densification_stop_step: 8000
 experiment_name: room
+freeze_means_step: 15000
 gradient_accumulation_steps: {}
 load_checkpoint: null
 load_config: null
   num_devices: 1
   num_machines: 1
   seed: 42
+max_num_iterations: 30000
+method_name: genie-real
 mixed_precision: false
 optimizers:
   fields:
       lr: 0.01
       max_norm: null
       weight_decay: 1.0e-06
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
+      _target: &id002 !!python/name:genie.utils.schedulers.ChainedScheduler ''
       gamma: 0.33
+      max_steps: 30000
       milestones: &id003 !!python/tuple
       - 0.5
       - 0.75
       lr: 0.001
       max_norm: null
       weight_decay: 0
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
+      max_steps: 30000
       milestones: *id003
   means:
     optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
       lr: 1.0e-05
       max_norm: null
       weight_decay: 0
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
+      max_steps: 30000
+      milestones: *id003
+  quats:
+    optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
+      _target: *id001
+      eps: 1.0e-15
+      lr: 0.001
+      max_norm: null
+      weight_decay: 0
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
+      _target: *id002
+      gamma: 0.33
+      max_steps: 30000
       milestones: *id003
 output_dir: !!python/object/apply:pathlib.PosixPath
 - outputs
+pipeline: !!python/object:genie.genie_pipeline.GeniePipelineConfig
+  _target: !!python/name:genie.genie_pipeline.GeniePipeline ''
   datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
     _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
+    cache_images_type: float32
     camera_optimizer: null
     camera_res_scale_factor: 1.0
     collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
     data: *id004
+    dataparser: !!python/object:genie.data.dataparsers.GenieNerfstudioDataParserConfig
+      _target: !!python/name:genie.data.dataparsers.GenieNerfstudio ''
       auto_scale_poses: true
       center_method: poses
       data: !!python/object/apply:pathlib.PosixPath []
       depth_unit_scale_factor: 0.001
+      downscale_factor: null
       eval_interval: 8
       eval_mode: fraction
       load_3D_points: true
       train_split_fraction: 0.9
     eval_image_indices: !!python/tuple
     - 0
+    eval_num_images_to_sample_from: .inf
+    eval_num_rays_per_batch: 2048
+    eval_num_times_to_repeat_images: .inf
     images_on_gpu: false
     masks_on_gpu: false
     patch_size: 1
       max_num_iterations: 100
       num_rays_per_batch: 4096
       rejection_sample_mask: false
+    train_num_images_to_sample_from: .inf
     train_num_rays_per_batch: 4096
+    train_num_times_to_repeat_images: .inf
   max_num_samples_per_ray: 1024
+  model: !!python/object:genie.genie_model.GenieModelConfig
+    _target: !!python/name:genie.genie_model.GenieModel ''
+    alpha_thre: 0.01
     background_color: random
     collider_params: null
     cone_angle: 0.00390625
+    densify: false
     disable_scene_contraction: false
     enable_collider: false
+    eval_num_rays_per_chunk: 4096
     far_plane: 1000.0
+    grid_levels: 4
     grid_resolution: 128
+    knn_algorithm: !!python/object:genie.knnx.knn_algorithms.OptixKNNConfig
+      _target: !!python/name:genie.knnx.knn_algorithms.OptixKNN ''
+      chi_squared_radius: 120.0
       device: cuda
       n_neighbours: 16
     loss_coefficients:
       rgb_loss_coarse: 1.0
       rgb_loss_fine: 1.0
     max_gb: 20
+    near_plane: 0.05
     prompt: null
+    prune: false
+    render_step_size: null
+    unfreeze_means: false
     use_gradient_scaling: true
+    visualize_gaussians: false
+    visualize_occupancy_grid: false
+  target_num_samples: 131072
 project_name: nerfstudio-project
 prompt: null
 pruning_interval: 1000
 pruning_start_step: 1000
+pruning_stop_step: 14000
 relative_model_dir: !!python/object/apply:pathlib.PosixPath
 - nerfstudio_models
 save_only_latest_checkpoint: true
+start_paused: false
 steps_per_eval_all_images: 25000
 steps_per_eval_batch: 500
 steps_per_eval_image: 500
 steps_per_save: 100
+timestamp: final
 unfreeze_means_step: 500
 use_grad_scaler: false
 viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
   make_share_url: false
   max_num_display_images: 512
   num_rays_per_chunk: 4096
+  quit_on_train_completion: true
   relative_log_filename: viewer_log_filename.txt
   websocket_host: 0.0.0.0
   websocket_port: null

configs/rug_cup.yml DELETED Viewed

@@ -1,187 +0,0 @@
-!!python/object:gnerf.gnerf_trainer.GNeRFTrainerConfig
-_target: !!python/name:gnerf.gnerf_trainer.GNeRFTrainer ''
-data: &id004 !!python/object/apply:pathlib.PosixPath
-- data
-- nerf_synthetic
-- rug
-denisification_interval: 200
-densification_start_step: 1000
-densification_stop_step: 8000
-experiment_name: rug
-gradient_accumulation_steps: {}
-load_checkpoint: null
-load_config: null
-load_dir: null
-load_scheduler: true
-load_step: null
-log_gradients: false
-logging: !!python/object:nerfstudio.configs.base_config.LoggingConfig
-  local_writer: !!python/object:nerfstudio.configs.base_config.LocalWriterConfig
-    _target: !!python/name:nerfstudio.utils.writer.LocalWriter ''
-    enable: true
-    max_log_size: 0
-    stats_to_track: !!python/tuple
-    - !!python/object/apply:nerfstudio.utils.writer.EventName
-      - Train Iter (time)
-    - !!python/object/apply:nerfstudio.utils.writer.EventName
-      - Train Rays / Sec
-    - !!python/object/apply:nerfstudio.utils.writer.EventName
-      - Test PSNR
-    - !!python/object/apply:nerfstudio.utils.writer.EventName
-      - Vis Rays / Sec
-    - !!python/object/apply:nerfstudio.utils.writer.EventName
-      - Test Rays / Sec
-    - !!python/object/apply:nerfstudio.utils.writer.EventName
-      - ETA (time)
-  max_buffer_size: 20
-  profiler: basic
-  relative_log_dir: !!python/object/apply:pathlib.PosixPath []
-  steps_per_log: 1
-machine: !!python/object:nerfstudio.configs.base_config.MachineConfig
-  device_type: cuda
-  dist_url: auto
-  machine_rank: 0
-  num_devices: 1
-  num_machines: 1
-  seed: 42
-max_num_iterations: 20000
-method_name: gnerf
-mixed_precision: false
-optimizers:
-  fields:
-    optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
-      _target: &id001 !!python/name:torch.optim.adam.Adam ''
-      eps: 1.0e-15
-      lr: 0.01
-      max_norm: null
-      weight_decay: 1.0e-06
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
-      _target: &id002 !!python/name:gnerf.utils.schedulers.ChainedScheduler ''
-      gamma: 0.33
-      max_steps: 20000
-      milestones: &id003 !!python/tuple
-      - 0.5
-      - 0.75
-      - 0.9
-  log_covs:
-    optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
-      _target: *id001
-      eps: 1.0e-15
-      lr: 0.001
-      max_norm: null
-      weight_decay: 0
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
-      _target: *id002
-      gamma: 0.33
-      max_steps: 20000
-      milestones: *id003
-  means:
-    optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
-      _target: *id001
-      eps: 1.0e-15
-      lr: 1.0e-05
-      max_norm: null
-      weight_decay: 0
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
-      _target: *id002
-      gamma: 0.33
-      max_steps: 20000
-      milestones: *id003
-output_dir: !!python/object/apply:pathlib.PosixPath
-- outputs
-pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
-  _target: !!python/name:gnerf.gnerf_pipeline.GNeRFPipeline ''
-  datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
-    _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
-    camera_optimizer: null
-    camera_res_scale_factor: 1.0
-    collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
-    data: *id004
-    dataparser: !!python/object:gnerf.data.dataparsers.GNeRFBlenderDataParserConfig
-      _target: !!python/name:gnerf.data.dataparsers.GNeRFBlender ''
-      alpha_color: white
-      data: !!python/object/apply:pathlib.PosixPath
-      - data
-      - blender
-      - lego
-      ply_path: null
-      scale_factor: 1.0
-    eval_image_indices: !!python/tuple
-    - 0
-    eval_num_images_to_sample_from: -1
-    eval_num_rays_per_batch: 4096
-    eval_num_times_to_repeat_images: -1
-    images_on_gpu: false
-    masks_on_gpu: false
-    patch_size: 1
-    pixel_sampler: !!python/object:nerfstudio.data.pixel_samplers.PixelSamplerConfig
-      _target: !!python/name:nerfstudio.data.pixel_samplers.PixelSampler ''
-      fisheye_crop_radius: null
-      ignore_mask: false
-      is_equirectangular: false
-      keep_full_image: false
-      max_num_iterations: 100
-      num_rays_per_batch: 4096
-      rejection_sample_mask: false
-    train_num_images_to_sample_from: -1
-    train_num_rays_per_batch: 4096
-    train_num_times_to_repeat_images: -1
-  max_num_samples_per_ray: 1024
-  model: !!python/object:gnerf.gnerf_model.GNeRFModelConfig
-    _target: !!python/name:gnerf.gnerf_model.GNeRFModel ''
-    alpha_thre: 0.0
-    appearance_embedding_dim: 32
-    background_color: white
-    collider_params: null
-    cone_angle: 0.0
-    densify: false
-    disable_scene_contraction: true
-    enable_collider: false
-    eval_num_rays_per_chunk: 8192
-    far_plane: 6.0
-    grid_resolution: 128
-    knn_algorithm: !!python/object:gnerf.knn.knn_algorithms.OptixKNNConfig
-      _target: !!python/name:gnerf.knn.knn_algorithms.OptixKNN ''
-      chi_squared_radius: 2.0
-      device: cuda
-      n_neighbours: 16
-    loss_coefficients:
-      rgb_loss_coarse: 1.0
-      rgb_loss_fine: 1.0
-    max_gb: 20
-    near_plane: 2.0
-    prompt: null
-    prune: false
-    render_step_size: 0.005
-    use_appearance_embedding: false
-    use_gradient_scaling: true
-  target_num_samples: 262144
-project_name: nerfstudio-project
-prompt: null
-pruning_interval: 1000
-pruning_start_step: 1000
-pruning_stop_step: 15000
-relative_model_dir: !!python/object/apply:pathlib.PosixPath
-- nerfstudio_models
-save_only_latest_checkpoint: true
-start_paused: false
-steps_per_eval_all_images: 25000
-steps_per_eval_batch: 500
-steps_per_eval_image: 500
-steps_per_save: 100
-timestamp: falling_rug
-use_grad_scaler: false
-viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
-  camera_frustum_scale: 0.1
-  default_composite_depth: true
-  image_format: jpeg
-  jpeg_quality: 75
-  make_share_url: false
-  max_num_display_images: 512
-  num_rays_per_chunk: 4096
-  quit_on_train_completion: false
-  relative_log_filename: viewer_log_filename.txt
-  websocket_host: 0.0.0.0
-  websocket_port: null
-  websocket_port_default: 7007
-vis: viewer

configs/ship.yml CHANGED Viewed

@@ -1,5 +1,5 @@
-!!python/object:gnerf.gnerf_trainer.GNeRFTrainerConfig
-_target: !!python/name:gnerf.gnerf_trainer.GNeRFTrainer ''
 data: &id004 !!python/object/apply:pathlib.PosixPath
 - data
 - nerf_synthetic
@@ -8,6 +8,7 @@ denisification_interval: 200
 densification_start_step: 1000
 densification_stop_step: 8000
 experiment_name: ship
 gradient_accumulation_steps: {}
 load_checkpoint: null
 load_config: null
@@ -44,8 +45,8 @@ machine: !!python/object:nerfstudio.configs.base_config.MachineConfig
   num_devices: 1
   num_machines: 1
   seed: 42
-max_num_iterations: 20000
-method_name: gnerf
 mixed_precision: false
 optimizers:
   fields:
@@ -55,10 +56,10 @@ optimizers:
       lr: 0.01
       max_norm: null
       weight_decay: 1.0e-06
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
-      _target: &id002 !!python/name:gnerf.utils.schedulers.ChainedScheduler ''
       gamma: 0.33
-      max_steps: 20000
       milestones: &id003 !!python/tuple
       - 0.5
       - 0.75
@@ -70,10 +71,10 @@ optimizers:
       lr: 0.001
       max_norm: null
       weight_decay: 0
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
-      max_steps: 20000
       milestones: *id003
   means:
     optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
@@ -82,24 +83,37 @@ optimizers:
       lr: 1.0e-05
       max_norm: null
       weight_decay: 0
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
-      max_steps: 20000
       milestones: *id003
 output_dir: !!python/object/apply:pathlib.PosixPath
 - outputs
-pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
-  _target: !!python/name:gnerf.gnerf_pipeline.GNeRFPipeline ''
   datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
     _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
     camera_optimizer: null
     camera_res_scale_factor: 1.0
     collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
     data: *id004
-    dataparser: !!python/object:gnerf.data.dataparsers.GNeRFBlenderDataParserConfig
-      _target: !!python/name:gnerf.data.dataparsers.GNeRFBlender ''
-      alpha_color: white
       data: !!python/object/apply:pathlib.PosixPath
       - data
       - blender
@@ -108,9 +122,9 @@ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
       scale_factor: 1.0
     eval_image_indices: !!python/tuple
     - 0
-    eval_num_images_to_sample_from: -1
-    eval_num_rays_per_batch: 4096
-    eval_num_times_to_repeat_images: -1
     images_on_gpu: false
     masks_on_gpu: false
     patch_size: 1
@@ -123,52 +137,56 @@ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
       max_num_iterations: 100
       num_rays_per_batch: 4096
       rejection_sample_mask: false
-    train_num_images_to_sample_from: -1
     train_num_rays_per_batch: 4096
-    train_num_times_to_repeat_images: -1
   max_num_samples_per_ray: 1024
-  model: !!python/object:gnerf.gnerf_model.GNeRFModelConfig
-    _target: !!python/name:gnerf.gnerf_model.GNeRFModel ''
     alpha_thre: 0.0
-    appearance_embedding_dim: 32
-    background_color: white
     collider_params: null
     cone_angle: 0.0
     densify: true
     disable_scene_contraction: true
     enable_collider: false
-    eval_num_rays_per_chunk: 8192
     far_plane: 6.0
     grid_resolution: 128
-    knn_algorithm: !!python/object:gnerf.knn.knn_algorithms.OptixKNNConfig
-      _target: !!python/name:gnerf.knn.knn_algorithms.OptixKNN ''
       chi_squared_radius: 2.0
       device: cuda
-      n_neighbours: 32
     loss_coefficients:
       rgb_loss_coarse: 1.0
       rgb_loss_fine: 1.0
-    max_gb: 20
     near_plane: 2.0
     prompt: null
     prune: true
-    render_step_size: 0.005
-    use_appearance_embedding: false
     use_gradient_scaling: true
-  target_num_samples: 262144
 project_name: nerfstudio-project
 prompt: null
 pruning_interval: 1000
 pruning_start_step: 1000
-pruning_stop_step: 15000
 relative_model_dir: !!python/object/apply:pathlib.PosixPath
 - nerfstudio_models
 save_only_latest_checkpoint: true
 steps_per_eval_all_images: 25000
 steps_per_eval_batch: 500
 steps_per_eval_image: 500
 steps_per_save: 100
-timestamp: hash_as_means_unfreezed_10k_lr_1e-5_densify_10k_100_prune
 use_grad_scaler: false
 viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
   camera_frustum_scale: 0.1

+!!python/object:genie.genie_trainer.GenieTrainerConfig
+_target: !!python/name:genie.genie_trainer.GenieTrainer ''
 data: &id004 !!python/object/apply:pathlib.PosixPath
 - data
 - nerf_synthetic
 densification_start_step: 1000
 densification_stop_step: 8000
 experiment_name: ship
+freeze_means_step: 15000
 gradient_accumulation_steps: {}
 load_checkpoint: null
 load_config: null
   num_devices: 1
   num_machines: 1
   seed: 42
+max_num_iterations: 30000
+method_name: genie
 mixed_precision: false
 optimizers:
   fields:
       lr: 0.01
       max_norm: null
       weight_decay: 1.0e-06
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
+      _target: &id002 !!python/name:genie.utils.schedulers.ChainedScheduler ''
       gamma: 0.33
+      max_steps: 30000
       milestones: &id003 !!python/tuple
       - 0.5
       - 0.75
       lr: 0.001
       max_norm: null
       weight_decay: 0
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
+      max_steps: 30000
       milestones: *id003
   means:
     optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
       lr: 1.0e-05
       max_norm: null
       weight_decay: 0
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
+      max_steps: 30000
+      milestones: *id003
+  quats:
+    optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
+      _target: *id001
+      eps: 1.0e-15
+      lr: 0.001
+      max_norm: null
+      weight_decay: 0
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
+      _target: *id002
+      gamma: 0.33
+      max_steps: 30000
       milestones: *id003
 output_dir: !!python/object/apply:pathlib.PosixPath
 - outputs
+pipeline: !!python/object:genie.genie_pipeline.GeniePipelineConfig
+  _target: !!python/name:genie.genie_pipeline.GeniePipeline ''
   datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
     _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
+    cache_images_type: float32
     camera_optimizer: null
     camera_res_scale_factor: 1.0
     collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
     data: *id004
+    dataparser: !!python/object:genie.data.dataparsers.GenieBlenderDataParserConfig
+      _target: !!python/name:genie.data.dataparsers.GenieBlender ''
+      alpha_color: black
       data: !!python/object/apply:pathlib.PosixPath
       - data
       - blender
       scale_factor: 1.0
     eval_image_indices: !!python/tuple
     - 0
+    eval_num_images_to_sample_from: .inf
+    eval_num_rays_per_batch: 1024
+    eval_num_times_to_repeat_images: .inf
     images_on_gpu: false
     masks_on_gpu: false
     patch_size: 1
       max_num_iterations: 100
       num_rays_per_batch: 4096
       rejection_sample_mask: false
+    train_num_images_to_sample_from: .inf
     train_num_rays_per_batch: 4096
+    train_num_times_to_repeat_images: .inf
   max_num_samples_per_ray: 1024
+  model: !!python/object:genie.genie_model.GenieModelConfig
+    _target: !!python/name:genie.genie_model.GenieModel ''
     alpha_thre: 0.0
+    background_color: black
     collider_params: null
     cone_angle: 0.0
     densify: true
     disable_scene_contraction: true
     enable_collider: false
+    eval_num_rays_per_chunk: 1024
     far_plane: 6.0
+    grid_levels: 1
     grid_resolution: 128
+    knn_algorithm: !!python/object:genie.knnx.knn_algorithms.OptixKNNConfig
+      _target: !!python/name:genie.knnx.knn_algorithms.OptixKNN ''
       chi_squared_radius: 2.0
       device: cuda
+      n_neighbours: 16
     loss_coefficients:
       rgb_loss_coarse: 1.0
       rgb_loss_fine: 1.0
+    max_gb: 28
     near_plane: 2.0
     prompt: null
     prune: true
+    render_step_size: 0.003
+    unfreeze_means: true
     use_gradient_scaling: true
+    visualize_gaussians: false
+    visualize_occupancy_grid: false
+  target_num_samples: 524288
 project_name: nerfstudio-project
 prompt: null
 pruning_interval: 1000
 pruning_start_step: 1000
+pruning_stop_step: 14000
 relative_model_dir: !!python/object/apply:pathlib.PosixPath
 - nerfstudio_models
 save_only_latest_checkpoint: true
+start_paused: false
 steps_per_eval_all_images: 25000
 steps_per_eval_batch: 500
 steps_per_eval_image: 500
 steps_per_save: 100
+timestamp: final_black
+unfreeze_means_step: 500
 use_grad_scaler: false
 viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
   camera_frustum_scale: 0.1

configs/stump.yml CHANGED Viewed

@@ -1,14 +1,14 @@
-!!python/object:gnerf.gnerf_trainer.GNeRFTrainerConfig
-_target: !!python/name:gnerf.gnerf_trainer.GNeRFTrainer ''
 data: &id004 !!python/object/apply:pathlib.PosixPath
 - data
 - 360_v2
 - stump
-denisification_interval: 100
-densification_start_step: 100
-densification_stop_step: 10000
 experiment_name: stump
-freeze_means_step: 10000
 gradient_accumulation_steps: {}
 load_checkpoint: null
 load_config: null
@@ -45,8 +45,8 @@ machine: !!python/object:nerfstudio.configs.base_config.MachineConfig
   num_devices: 1
   num_machines: 1
   seed: 42
-max_num_iterations: 20000
-method_name: gnerf
 mixed_precision: false
 optimizers:
   fields:
@@ -56,10 +56,10 @@ optimizers:
       lr: 0.01
       max_norm: null
       weight_decay: 1.0e-06
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
-      _target: &id002 !!python/name:gnerf.utils.schedulers.ChainedScheduler ''
       gamma: 0.33
-      max_steps: 20000
       milestones: &id003 !!python/tuple
       - 0.5
       - 0.75
@@ -71,10 +71,10 @@ optimizers:
       lr: 0.001
       max_norm: null
       weight_decay: 0
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
-      max_steps: 20000
       milestones: *id003
   means:
     optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
@@ -83,28 +83,41 @@ optimizers:
       lr: 1.0e-05
       max_norm: null
       weight_decay: 0
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
-      max_steps: 20000
       milestones: *id003
 output_dir: !!python/object/apply:pathlib.PosixPath
 - outputs
-pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
-  _target: !!python/name:gnerf.gnerf_pipeline.GNeRFPipeline ''
   datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
     _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
     camera_optimizer: null
     camera_res_scale_factor: 1.0
     collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
     data: *id004
-    dataparser: !!python/object:nerfstudio.data.dataparsers.nerfstudio_dataparser.NerfstudioDataParserConfig
-      _target: !!python/name:nerfstudio.data.dataparsers.nerfstudio_dataparser.Nerfstudio ''
       auto_scale_poses: true
       center_method: poses
       data: !!python/object/apply:pathlib.PosixPath []
       depth_unit_scale_factor: 0.001
-      downscale_factor: 4
       eval_interval: 8
       eval_mode: fraction
       load_3D_points: true
@@ -115,9 +128,9 @@ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
       train_split_fraction: 0.9
     eval_image_indices: !!python/tuple
     - 0
-    eval_num_images_to_sample_from: -1
     eval_num_rays_per_batch: 4096
-    eval_num_times_to_repeat_images: -1
     images_on_gpu: false
     masks_on_gpu: false
     patch_size: 1
@@ -130,53 +143,55 @@ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
       max_num_iterations: 100
       num_rays_per_batch: 4096
       rejection_sample_mask: false
-    train_num_images_to_sample_from: -1
     train_num_rays_per_batch: 4096
-    train_num_times_to_repeat_images: -1
   max_num_samples_per_ray: 1024
-  model: !!python/object:gnerf.gnerf_model.GNeRFModelConfig
-    _target: !!python/name:gnerf.gnerf_model.GNeRFModel ''
-    alpha_thre: 0.0
-    appearance_embedding_dim: 32
     background_color: random
     collider_params: null
     cone_angle: 0.00390625
-    densify: true
     disable_scene_contraction: false
     enable_collider: false
     eval_num_rays_per_chunk: 8192
     far_plane: 1000.0
     grid_resolution: 128
-    knn_algorithm: !!python/object:gnerf.knn.knn_algorithms.OptixKNNConfig
-      _target: !!python/name:gnerf.knn.knn_algorithms.OptixKNN ''
-      chi_squared_radius: 2.0
       device: cuda
       n_neighbours: 16
     loss_coefficients:
       rgb_loss_coarse: 1.0
       rgb_loss_fine: 1.0
-    max_gb: 20
-    near_plane: 0.0
     prompt: null
-    prune: true
-    render_step_size: 0.005
-    unfreeze_means: true
-    use_appearance_embedding: false
     use_gradient_scaling: true
-  target_num_samples: 262144
 project_name: nerfstudio-project
 prompt: null
 pruning_interval: 1000
 pruning_start_step: 1000
-pruning_stop_step: 15000
 relative_model_dir: !!python/object/apply:pathlib.PosixPath
 - nerfstudio_models
 save_only_latest_checkpoint: true
 steps_per_eval_all_images: 25000
 steps_per_eval_batch: 500
 steps_per_eval_image: 500
 steps_per_save: 100
-timestamp: open_scenes_baseline
 unfreeze_means_step: 500
 use_grad_scaler: false
 viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
@@ -187,7 +202,7 @@ viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
   make_share_url: false
   max_num_display_images: 512
   num_rays_per_chunk: 4096
-  quit_on_train_completion: false
   relative_log_filename: viewer_log_filename.txt
   websocket_host: 0.0.0.0
   websocket_port: null

+!!python/object:genie.genie_trainer.GenieTrainerConfig
+_target: !!python/name:genie.genie_trainer.GenieTrainer ''
 data: &id004 !!python/object/apply:pathlib.PosixPath
 - data
 - 360_v2
 - stump
+denisification_interval: 200
+densification_start_step: 1000
+densification_stop_step: 8000
 experiment_name: stump
+freeze_means_step: 15000
 gradient_accumulation_steps: {}
 load_checkpoint: null
 load_config: null
   num_devices: 1
   num_machines: 1
   seed: 42
+max_num_iterations: 30000
+method_name: genie-real
 mixed_precision: false
 optimizers:
   fields:
       lr: 0.01
       max_norm: null
       weight_decay: 1.0e-06
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
+      _target: &id002 !!python/name:genie.utils.schedulers.ChainedScheduler ''
       gamma: 0.33
+      max_steps: 30000
       milestones: &id003 !!python/tuple
       - 0.5
       - 0.75
       lr: 0.001
       max_norm: null
       weight_decay: 0
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
+      max_steps: 30000
       milestones: *id003
   means:
     optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
       lr: 1.0e-05
       max_norm: null
       weight_decay: 0
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
+      max_steps: 30000
+      milestones: *id003
+  quats:
+    optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
+      _target: *id001
+      eps: 1.0e-15
+      lr: 0.001
+      max_norm: null
+      weight_decay: 0
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
+      _target: *id002
+      gamma: 0.33
+      max_steps: 30000
       milestones: *id003
 output_dir: !!python/object/apply:pathlib.PosixPath
 - outputs
+pipeline: !!python/object:genie.genie_pipeline.GeniePipelineConfig
+  _target: !!python/name:genie.genie_pipeline.GeniePipeline ''
   datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
     _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
+    cache_images_type: float32
     camera_optimizer: null
     camera_res_scale_factor: 1.0
     collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
     data: *id004
+    dataparser: !!python/object:genie.data.dataparsers.GenieNerfstudioDataParserConfig
+      _target: !!python/name:genie.data.dataparsers.GenieNerfstudio ''
       auto_scale_poses: true
       center_method: poses
       data: !!python/object/apply:pathlib.PosixPath []
       depth_unit_scale_factor: 0.001
+      downscale_factor: null
       eval_interval: 8
       eval_mode: fraction
       load_3D_points: true
       train_split_fraction: 0.9
     eval_image_indices: !!python/tuple
     - 0
+    eval_num_images_to_sample_from: .inf
     eval_num_rays_per_batch: 4096
+    eval_num_times_to_repeat_images: .inf
     images_on_gpu: false
     masks_on_gpu: false
     patch_size: 1
       max_num_iterations: 100
       num_rays_per_batch: 4096
       rejection_sample_mask: false
+    train_num_images_to_sample_from: .inf
     train_num_rays_per_batch: 4096
+    train_num_times_to_repeat_images: .inf
   max_num_samples_per_ray: 1024
+  model: !!python/object:genie.genie_model.GenieModelConfig
+    _target: !!python/name:genie.genie_model.GenieModel ''
+    alpha_thre: 0.01
     background_color: random
     collider_params: null
     cone_angle: 0.00390625
+    densify: false
     disable_scene_contraction: false
     enable_collider: false
     eval_num_rays_per_chunk: 8192
     far_plane: 1000.0
+    grid_levels: 4
     grid_resolution: 128
+    knn_algorithm: !!python/object:genie.knnx.knn_algorithms.OptixKNNConfig
+      _target: !!python/name:genie.knnx.knn_algorithms.OptixKNN ''
+      chi_squared_radius: 120.0
       device: cuda
       n_neighbours: 16
     loss_coefficients:
       rgb_loss_coarse: 1.0
       rgb_loss_fine: 1.0
+    max_gb: 28
+    near_plane: 0.05
     prompt: null
+    prune: false
+    render_step_size: null
+    unfreeze_means: false
     use_gradient_scaling: true
+    visualize_gaussians: false
+    visualize_occupancy_grid: false
+  target_num_samples: 65536
 project_name: nerfstudio-project
 prompt: null
 pruning_interval: 1000
 pruning_start_step: 1000
+pruning_stop_step: 14000
 relative_model_dir: !!python/object/apply:pathlib.PosixPath
 - nerfstudio_models
 save_only_latest_checkpoint: true
+start_paused: false
 steps_per_eval_all_images: 25000
 steps_per_eval_batch: 500
 steps_per_eval_image: 500
 steps_per_save: 100
+timestamp: final
 unfreeze_means_step: 500
 use_grad_scaler: false
 viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
   make_share_url: false
   max_num_display_images: 512
   num_rays_per_chunk: 4096
+  quit_on_train_completion: true
   relative_log_filename: viewer_log_filename.txt
   websocket_host: 0.0.0.0
   websocket_port: null

configs/treehill.yml CHANGED Viewed

@@ -1,14 +1,14 @@
-!!python/object:gnerf.gnerf_trainer.GNeRFTrainerConfig
-_target: !!python/name:gnerf.gnerf_trainer.GNeRFTrainer ''
 data: &id004 !!python/object/apply:pathlib.PosixPath
 - data
 - 360_v2
 - treehill
-denisification_interval: 100
-densification_start_step: 100
-densification_stop_step: 10000
 experiment_name: treehill
-freeze_means_step: 10000
 gradient_accumulation_steps: {}
 load_checkpoint: null
 load_config: null
@@ -45,8 +45,8 @@ machine: !!python/object:nerfstudio.configs.base_config.MachineConfig
   num_devices: 1
   num_machines: 1
   seed: 42
-max_num_iterations: 20000
-method_name: gnerf
 mixed_precision: false
 optimizers:
   fields:
@@ -56,10 +56,10 @@ optimizers:
       lr: 0.01
       max_norm: null
       weight_decay: 1.0e-06
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
-      _target: &id002 !!python/name:gnerf.utils.schedulers.ChainedScheduler ''
       gamma: 0.33
-      max_steps: 20000
       milestones: &id003 !!python/tuple
       - 0.5
       - 0.75
@@ -71,10 +71,10 @@ optimizers:
       lr: 0.001
       max_norm: null
       weight_decay: 0
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
-      max_steps: 20000
       milestones: *id003
   means:
     optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
@@ -83,28 +83,41 @@ optimizers:
       lr: 1.0e-05
       max_norm: null
       weight_decay: 0
-    scheduler: !!python/object:gnerf.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
-      max_steps: 20000
       milestones: *id003
 output_dir: !!python/object/apply:pathlib.PosixPath
 - outputs
-pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
-  _target: !!python/name:gnerf.gnerf_pipeline.GNeRFPipeline ''
   datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
     _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
     camera_optimizer: null
     camera_res_scale_factor: 1.0
     collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
     data: *id004
-    dataparser: !!python/object:nerfstudio.data.dataparsers.nerfstudio_dataparser.NerfstudioDataParserConfig
-      _target: !!python/name:nerfstudio.data.dataparsers.nerfstudio_dataparser.Nerfstudio ''
       auto_scale_poses: true
       center_method: poses
       data: !!python/object/apply:pathlib.PosixPath []
       depth_unit_scale_factor: 0.001
-      downscale_factor: 4
       eval_interval: 8
       eval_mode: fraction
       load_3D_points: true
@@ -115,9 +128,9 @@ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
       train_split_fraction: 0.9
     eval_image_indices: !!python/tuple
     - 0
-    eval_num_images_to_sample_from: -1
     eval_num_rays_per_batch: 1024
-    eval_num_times_to_repeat_images: -1
     images_on_gpu: false
     masks_on_gpu: false
     patch_size: 1
@@ -130,53 +143,55 @@ pipeline: !!python/object:gnerf.gnerf_pipeline.GNeRFPipelineConfig
       max_num_iterations: 100
       num_rays_per_batch: 4096
       rejection_sample_mask: false
-    train_num_images_to_sample_from: -1
     train_num_rays_per_batch: 4096
-    train_num_times_to_repeat_images: -1
   max_num_samples_per_ray: 1024
-  model: !!python/object:gnerf.gnerf_model.GNeRFModelConfig
-    _target: !!python/name:gnerf.gnerf_model.GNeRFModel ''
-    alpha_thre: 0.0
-    appearance_embedding_dim: 32
     background_color: random
     collider_params: null
     cone_angle: 0.00390625
-    densify: true
     disable_scene_contraction: false
     enable_collider: false
     eval_num_rays_per_chunk: 2048
     far_plane: 1000.0
     grid_resolution: 128
-    knn_algorithm: !!python/object:gnerf.knn.knn_algorithms.OptixKNNConfig
-      _target: !!python/name:gnerf.knn.knn_algorithms.OptixKNN ''
-      chi_squared_radius: 2.0
       device: cuda
       n_neighbours: 16
     loss_coefficients:
       rgb_loss_coarse: 1.0
       rgb_loss_fine: 1.0
     max_gb: 20
-    near_plane: 0.0
     prompt: null
-    prune: true
-    render_step_size: 0.005
-    unfreeze_means: true
-    use_appearance_embedding: false
     use_gradient_scaling: true
-  target_num_samples: 262144
 project_name: nerfstudio-project
 prompt: null
 pruning_interval: 1000
 pruning_start_step: 1000
-pruning_stop_step: 15000
 relative_model_dir: !!python/object/apply:pathlib.PosixPath
 - nerfstudio_models
 save_only_latest_checkpoint: true
 steps_per_eval_all_images: 25000
 steps_per_eval_batch: 500
 steps_per_eval_image: 500
 steps_per_save: 100
-timestamp: open_scenes_baseline
 unfreeze_means_step: 500
 use_grad_scaler: false
 viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
@@ -187,7 +202,7 @@ viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
   make_share_url: false
   max_num_display_images: 512
   num_rays_per_chunk: 4096
-  quit_on_train_completion: false
   relative_log_filename: viewer_log_filename.txt
   websocket_host: 0.0.0.0
   websocket_port: null

+!!python/object:genie.genie_trainer.GenieTrainerConfig
+_target: !!python/name:genie.genie_trainer.GenieTrainer ''
 data: &id004 !!python/object/apply:pathlib.PosixPath
 - data
 - 360_v2
 - treehill
+denisification_interval: 200
+densification_start_step: 1000
+densification_stop_step: 8000
 experiment_name: treehill
+freeze_means_step: 15000
 gradient_accumulation_steps: {}
 load_checkpoint: null
 load_config: null
   num_devices: 1
   num_machines: 1
   seed: 42
+max_num_iterations: 30000
+method_name: genie-real
 mixed_precision: false
 optimizers:
   fields:
       lr: 0.01
       max_norm: null
       weight_decay: 1.0e-06
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
+      _target: &id002 !!python/name:genie.utils.schedulers.ChainedScheduler ''
       gamma: 0.33
+      max_steps: 30000
       milestones: &id003 !!python/tuple
       - 0.5
       - 0.75
       lr: 0.001
       max_norm: null
       weight_decay: 0
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
+      max_steps: 30000
       milestones: *id003
   means:
     optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
       lr: 1.0e-05
       max_norm: null
       weight_decay: 0
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
       _target: *id002
       gamma: 0.33
+      max_steps: 30000
+      milestones: *id003
+  quats:
+    optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
+      _target: *id001
+      eps: 1.0e-15
+      lr: 0.001
+      max_norm: null
+      weight_decay: 0
+    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
+      _target: *id002
+      gamma: 0.33
+      max_steps: 30000
       milestones: *id003
 output_dir: !!python/object/apply:pathlib.PosixPath
 - outputs
+pipeline: !!python/object:genie.genie_pipeline.GeniePipelineConfig
+  _target: !!python/name:genie.genie_pipeline.GeniePipeline ''
   datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
     _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
+    cache_images_type: float32
     camera_optimizer: null
     camera_res_scale_factor: 1.0
     collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
     data: *id004
+    dataparser: !!python/object:genie.data.dataparsers.GenieNerfstudioDataParserConfig
+      _target: !!python/name:genie.data.dataparsers.GenieNerfstudio ''
       auto_scale_poses: true
       center_method: poses
       data: !!python/object/apply:pathlib.PosixPath []
       depth_unit_scale_factor: 0.001
+      downscale_factor: null
       eval_interval: 8
       eval_mode: fraction
       load_3D_points: true
       train_split_fraction: 0.9
     eval_image_indices: !!python/tuple
     - 0
+    eval_num_images_to_sample_from: .inf
     eval_num_rays_per_batch: 1024
+    eval_num_times_to_repeat_images: .inf
     images_on_gpu: false
     masks_on_gpu: false
     patch_size: 1
       max_num_iterations: 100
       num_rays_per_batch: 4096
       rejection_sample_mask: false
+    train_num_images_to_sample_from: .inf
     train_num_rays_per_batch: 4096
+    train_num_times_to_repeat_images: .inf
   max_num_samples_per_ray: 1024
+  model: !!python/object:genie.genie_model.GenieModelConfig
+    _target: !!python/name:genie.genie_model.GenieModel ''
+    alpha_thre: 0.01
     background_color: random
     collider_params: null
     cone_angle: 0.00390625
+    densify: false
     disable_scene_contraction: false
     enable_collider: false
     eval_num_rays_per_chunk: 2048
     far_plane: 1000.0
+    grid_levels: 4
     grid_resolution: 128
+    knn_algorithm: !!python/object:genie.knnx.knn_algorithms.OptixKNNConfig
+      _target: !!python/name:genie.knnx.knn_algorithms.OptixKNN ''
+      chi_squared_radius: 120.0
       device: cuda
       n_neighbours: 16
     loss_coefficients:
       rgb_loss_coarse: 1.0
       rgb_loss_fine: 1.0
     max_gb: 20
+    near_plane: 0.05
     prompt: null
+    prune: false
+    render_step_size: null
+    unfreeze_means: false
     use_gradient_scaling: true
+    visualize_gaussians: false
+    visualize_occupancy_grid: false
+  target_num_samples: 65536
 project_name: nerfstudio-project
 prompt: null
 pruning_interval: 1000
 pruning_start_step: 1000
+pruning_stop_step: 14000
 relative_model_dir: !!python/object/apply:pathlib.PosixPath
 - nerfstudio_models
 save_only_latest_checkpoint: true
+start_paused: false
 steps_per_eval_all_images: 25000
 steps_per_eval_batch: 500
 steps_per_eval_image: 500
 steps_per_save: 100
+timestamp: final
 unfreeze_means_step: 500
 use_grad_scaler: false
 viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
   make_share_url: false
   max_num_display_images: 512
   num_rays_per_chunk: 4096
+  quit_on_train_completion: true
   relative_log_filename: viewer_log_filename.txt
   websocket_host: 0.0.0.0
   websocket_port: null