repo stringlengths 7 90 | file_url stringlengths 81 315 | file_path stringlengths 4 228 | content stringlengths 0 32.8k | language stringclasses 1
value | license stringclasses 7
values | commit_sha stringlengths 40 40 | retrieved_at stringdate 2026-01-04 14:38:15 2026-01-05 02:33:18 | truncated bool 2
classes |
|---|---|---|---|---|---|---|---|---|
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/extern/ldm_zero123/modules/image_degradation/__init__.py | extern/ldm_zero123/modules/image_degradation/__init__.py | from extern.ldm_zero123.modules.image_degradation.bsrgan import (
degradation_bsrgan_variant as degradation_fn_bsr,
)
from extern.ldm_zero123.modules.image_degradation.bsrgan_light import (
degradation_bsrgan_variant as degradation_fn_bsr_light,
)
| python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/extern/ldm_zero123/modules/image_degradation/utils_image.py | extern/ldm_zero123/modules/image_degradation/utils_image.py | import math
import os
import random
from datetime import datetime
import cv2
import numpy as np
import torch
from torchvision.utils import make_grid
# import matplotlib.pyplot as plt # TODO: check with Dominik, also bsrgan.py vs bsrgan_light.py
os.environ["KMP_DUPLICATE_LIB_OK"] = "TRUE"
"""
# -----------------... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/extern/ldm_zero123/modules/distributions/distributions.py | extern/ldm_zero123/modules/distributions/distributions.py | import numpy as np
import torch
class AbstractDistribution:
def sample(self):
raise NotImplementedError()
def mode(self):
raise NotImplementedError()
class DiracDistribution(AbstractDistribution):
def __init__(self, value):
self.value = value
def sample(self):
retur... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/extern/ldm_zero123/modules/distributions/__init__.py | extern/ldm_zero123/modules/distributions/__init__.py | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false | |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/extern/ldm_zero123/modules/losses/vqperceptual.py | extern/ldm_zero123/modules/losses/vqperceptual.py | import torch
import torch.nn.functional as F
from einops import repeat
from taming.modules.discriminator.model import NLayerDiscriminator, weights_init
from taming.modules.losses.lpips import LPIPS
from taming.modules.losses.vqperceptual import hinge_d_loss, vanilla_d_loss
from torch import nn
def hinge_d_loss_with_e... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/extern/ldm_zero123/modules/losses/contperceptual.py | extern/ldm_zero123/modules/losses/contperceptual.py | import torch
import torch.nn as nn
from taming.modules.losses.vqperceptual import * # TODO: taming dependency yes/no?
class LPIPSWithDiscriminator(nn.Module):
def __init__(
self,
disc_start,
logvar_init=0.0,
kl_weight=1.0,
pixelloss_weight=1.0,
disc_num_layers=3,
... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/extern/ldm_zero123/modules/losses/__init__.py | extern/ldm_zero123/modules/losses/__init__.py | from extern.ldm_zero123.modules.losses.contperceptual import LPIPSWithDiscriminator
| python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/extern/ldm_zero123/modules/encoders/modules.py | extern/ldm_zero123/modules/encoders/modules.py | from functools import partial
import clip
import kornia
import numpy as np
import torch
import torch.nn as nn
from extern.ldm_zero123.modules.x_transformer import ( # TODO: can we directly rely on lucidrains code and simply add this as a reuirement? --> test
Encoder,
TransformerWrapper,
)
from extern.ldm_zer... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/extern/ldm_zero123/modules/encoders/__init__.py | extern/ldm_zero123/modules/encoders/__init__.py | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false | |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/extern/ldm_zero123/modules/evaluate/torch_frechet_video_distance.py | extern/ldm_zero123/modules/evaluate/torch_frechet_video_distance.py | # based on https://github.com/universome/fvd-comparison/blob/master/compare_models.py; huge thanks!
import glob
import hashlib
import html
import io
import multiprocessing as mp
import os
import re
import urllib
import urllib.request
from typing import Any, Callable, Dict, List, Tuple, Union
import numpy as np
import ... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/extern/ldm_zero123/modules/evaluate/ssim.py | extern/ldm_zero123/modules/evaluate/ssim.py | # MIT Licence
# Methods to predict the SSIM, taken from
# https://github.com/Po-Hsun-Su/pytorch-ssim/blob/master/pytorch_ssim/__init__.py
from math import exp
import torch
import torch.nn.functional as F
from torch.autograd import Variable
def gaussian(window_size, sigma):
gauss = torch.Tensor(
[
... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/extern/ldm_zero123/modules/evaluate/frechet_video_distance.py | extern/ldm_zero123/modules/evaluate/frechet_video_distance.py | # coding=utf-8
# Copyright 2022 The Google Research Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/extern/ldm_zero123/modules/evaluate/adm_evaluator.py | extern/ldm_zero123/modules/evaluate/adm_evaluator.py | import argparse
import io
import os
import random
import warnings
import zipfile
from abc import ABC, abstractmethod
from contextlib import contextmanager
from functools import partial
from multiprocessing import cpu_count
from multiprocessing.pool import ThreadPool
from typing import Iterable, Optional, Tuple
import ... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/extern/ldm_zero123/modules/evaluate/evaluate_perceptualsim.py | extern/ldm_zero123/modules/evaluate/evaluate_perceptualsim.py | import argparse
import glob
import os
from collections import namedtuple
import numpy as np
import torch
import torchvision.transforms as transforms
from PIL import Image
from torchvision import models
from tqdm import tqdm
from extern.ldm_zero123.modules.evaluate.ssim import ssim
transform = transforms.Compose([tra... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/extern/ldm_zero123/modules/diffusionmodules/util.py | extern/ldm_zero123/modules/diffusionmodules/util.py | # adopted from
# https://github.com/openai/improved-diffusion/blob/main/improved_diffusion/gaussian_diffusion.py
# and
# https://github.com/lucidrains/denoising-diffusion-pytorch/blob/7706bdfc6f527f58d33f84b7b522e61e6e3164b3/denoising_diffusion_pytorch/denoising_diffusion_pytorch.py
# and
# https://github.com/openai/gu... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/extern/ldm_zero123/modules/diffusionmodules/model.py | extern/ldm_zero123/modules/diffusionmodules/model.py | # pytorch_diffusion + derived encoder decoder
import math
import numpy as np
import torch
import torch.nn as nn
from einops import rearrange
from extern.ldm_zero123.modules.attention import LinearAttention
from extern.ldm_zero123.util import instantiate_from_config
def get_timestep_embedding(timesteps, embedding_di... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/extern/ldm_zero123/modules/diffusionmodules/openaimodel.py | extern/ldm_zero123/modules/diffusionmodules/openaimodel.py | import math
from abc import abstractmethod
from functools import partial
from typing import Iterable
import numpy as np
import torch as th
import torch.nn as nn
import torch.nn.functional as F
from extern.ldm_zero123.modules.attention import SpatialTransformer
from extern.ldm_zero123.modules.diffusionmodules.util imp... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | true |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/extern/ldm_zero123/modules/diffusionmodules/__init__.py | extern/ldm_zero123/modules/diffusionmodules/__init__.py | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false | |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/__init__.py | threestudio/__init__.py | __modules__ = {}
def register(name):
def decorator(cls):
__modules__[name] = cls
return cls
return decorator
def find(name):
return __modules__[name]
### grammar sugar for logging utilities ###
import logging
logger = logging.getLogger("pytorch_lightning")
from pytorch_lightning.u... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/scripts/zero123_demo.py | threestudio/scripts/zero123_demo.py | # 1. Generate using StableDiffusionXL https://clipdrop.co/stable-diffusion
# 2. Remove background https://clipdrop.co/remove-background
# 3. Resize to 512x512 https://www.iloveimg.com/resize-image
# (OPTIONAL)
# 4. Estimate depth and normal https://omnidata.vision/demo/ (I used Omnidata Normal (with X-TC & 3DCC), an... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/scripts/make_training_vid.py | threestudio/scripts/make_training_vid.py | # make_training_vid("outputs/zero123/64_teddy_rgba.png@20230627-195615", frames_per_vid=30, fps=20, max_iters=200)
import argparse
import glob
import os
import imageio
import numpy as np
from PIL import Image, ImageDraw
from tqdm import tqdm
def draw_text_in_image(img, texts):
img = Image.fromarray(img)
draw... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/scripts/run_zero123_sbatch.py | threestudio/scripts/run_zero123_sbatch.py | import os
import time
files = [
"~/git/threestudio/load/images/dog1_rgba.png",
"~/git/threestudio/load/images/dragon2_rgba.png",
]
for file in files:
name = os.path.basename(file).split("_rgba.png")[0]
with open(
os.path.expanduser("~/git/threestudio/threestudio/scripts/zero123_sbatch.sh"),
... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/models/estimators.py | threestudio/models/estimators.py | from typing import Callable, List, Optional, Tuple
try:
from typing import Literal
except ImportError:
from typing_extensions import Literal
import torch
from nerfacc.data_specs import RayIntervals
from nerfacc.estimators.base import AbstractEstimator
from nerfacc.pdf import importance_sampling, searchsorted
... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/models/isosurface.py | threestudio/models/isosurface.py | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import threestudio
from threestudio.models.mesh import Mesh
from threestudio.utils.typing import *
class IsosurfaceHelper(nn.Module):
points_range: Tuple[float, float] = (0, 1)
@property
def grid_vertices(self) -> Floa... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/models/__init__.py | threestudio/models/__init__.py | from . import (
background,
exporters,
geometry,
guidance,
materials,
prompt_processors,
renderers,
)
| python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/models/networks.py | threestudio/models/networks.py | import math
import tinycudann as tcnn
import torch
import torch.nn as nn
import torch.nn.functional as F
import threestudio
from threestudio.utils.base import Updateable
from threestudio.utils.config import config_to_primitive
from threestudio.utils.misc import get_rank
from threestudio.utils.ops import get_activatio... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/models/mesh.py | threestudio/models/mesh.py | from __future__ import annotations
import numpy as np
import torch
import torch.nn.functional as F
import threestudio
from threestudio.utils.ops import dot
from threestudio.utils.typing import *
class Mesh:
def __init__(
self, v_pos: Float[Tensor, "Nv 3"], t_pos_idx: Integer[Tensor, "Nf 3"], **kwargs
... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/models/background/neural_environment_map_background.py | threestudio/models/background/neural_environment_map_background.py | import random
from dataclasses import dataclass, field
import torch
import torch.nn as nn
import torch.nn.functional as F
import threestudio
from threestudio.models.background.base import BaseBackground
from threestudio.models.networks import get_encoding, get_mlp
from threestudio.utils.ops import get_activation
from... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/models/background/textured_background.py | threestudio/models/background/textured_background.py | from dataclasses import dataclass, field
import torch
import torch.nn as nn
import torch.nn.functional as F
import threestudio
from threestudio.models.background.base import BaseBackground
from threestudio.utils.ops import get_activation
from threestudio.utils.typing import *
@threestudio.register("textured-backgro... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/models/background/solid_color_background.py | threestudio/models/background/solid_color_background.py | import random
from dataclasses import dataclass, field
import torch
import torch.nn as nn
import torch.nn.functional as F
import threestudio
from threestudio.models.background.base import BaseBackground
from threestudio.utils.typing import *
@threestudio.register("solid-color-background")
class SolidColorBackground... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/models/background/__init__.py | threestudio/models/background/__init__.py | from . import (
base,
neural_environment_map_background,
solid_color_background,
textured_background,
)
| python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/models/background/base.py | threestudio/models/background/base.py | import random
from dataclasses import dataclass, field
import torch
import torch.nn as nn
import torch.nn.functional as F
import threestudio
from threestudio.utils.base import BaseModule
from threestudio.utils.typing import *
class BaseBackground(BaseModule):
@dataclass
class Config(BaseModule.Config):
... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/models/renderers/nvdiff_rasterizer.py | threestudio/models/renderers/nvdiff_rasterizer.py | from dataclasses import dataclass
import nerfacc
import torch
import torch.nn.functional as F
import threestudio
from threestudio.models.background.base import BaseBackground
from threestudio.models.geometry.base import BaseImplicitGeometry
from threestudio.models.materials.base import BaseMaterial
from threestudio.m... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/models/renderers/deferred_volume_renderer.py | threestudio/models/renderers/deferred_volume_renderer.py | from dataclasses import dataclass
import torch
import torch.nn.functional as F
import threestudio
from threestudio.models.renderers.base import VolumeRenderer
class DeferredVolumeRenderer(VolumeRenderer):
pass
| python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/models/renderers/neus_volume_renderer.py | threestudio/models/renderers/neus_volume_renderer.py | from dataclasses import dataclass
from functools import partial
import nerfacc
import torch
import torch.nn as nn
import torch.nn.functional as F
import threestudio
from threestudio.models.background.base import BaseBackground
from threestudio.models.estimators import ImportanceEstimator
from threestudio.models.geome... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/models/renderers/nerf_volume_renderer.py | threestudio/models/renderers/nerf_volume_renderer.py | from dataclasses import dataclass, field
from functools import partial
import nerfacc
import torch
import torch.nn.functional as F
import threestudio
from threestudio.models.background.base import BaseBackground
from threestudio.models.estimators import ImportanceEstimator
from threestudio.models.geometry.base import... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/models/renderers/patch_renderer.py | threestudio/models/renderers/patch_renderer.py | from dataclasses import dataclass
import torch
import torch.nn.functional as F
import threestudio
from threestudio.models.background.base import BaseBackground
from threestudio.models.geometry.base import BaseImplicitGeometry
from threestudio.models.materials.base import BaseMaterial
from threestudio.models.renderers... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/models/renderers/__init__.py | threestudio/models/renderers/__init__.py | from . import (
base,
deferred_volume_renderer,
gan_volume_renderer,
nerf_volume_renderer,
neus_volume_renderer,
nvdiff_rasterizer,
patch_renderer,
)
| python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/models/renderers/base.py | threestudio/models/renderers/base.py | from dataclasses import dataclass
import nerfacc
import torch
import torch.nn.functional as F
import threestudio
from threestudio.models.background.base import BaseBackground
from threestudio.models.geometry.base import BaseImplicitGeometry
from threestudio.models.materials.base import BaseMaterial
from threestudio.u... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/models/renderers/gan_volume_renderer.py | threestudio/models/renderers/gan_volume_renderer.py | from dataclasses import dataclass
import torch
import torch.nn.functional as F
import threestudio
from threestudio.models.background.base import BaseBackground
from threestudio.models.geometry.base import BaseImplicitGeometry
from threestudio.models.materials.base import BaseMaterial
from threestudio.models.renderers... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/models/geometry/implicit_volume.py | threestudio/models/geometry/implicit_volume.py | from dataclasses import dataclass, field
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import threestudio
from threestudio.models.geometry.base import (
BaseGeometry,
BaseImplicitGeometry,
contract_to_unisphere,
)
from threestudio.models.networks import get_encoding... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/models/geometry/tetrahedra_sdf_grid.py | threestudio/models/geometry/tetrahedra_sdf_grid.py | import os
from dataclasses import dataclass, field
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import threestudio
from threestudio.models.geometry.base import (
BaseExplicitGeometry,
BaseGeometry,
contract_to_unisphere,
)
from threestudio.models.geometry.implicit_... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/models/geometry/custom_mesh.py | threestudio/models/geometry/custom_mesh.py | import os
from dataclasses import dataclass, field
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import threestudio
from threestudio.models.geometry.base import (
BaseExplicitGeometry,
BaseGeometry,
contract_to_unisphere,
)
from threestudio.models.mesh import Mesh
f... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/models/geometry/volume_grid.py | threestudio/models/geometry/volume_grid.py | from dataclasses import dataclass, field
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import threestudio
from threestudio.models.geometry.base import BaseImplicitGeometry, contract_to_unisphere
from threestudio.utils.ops import get_activation
from threestudio.utils.typing impo... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/models/geometry/implicit_sdf.py | threestudio/models/geometry/implicit_sdf.py | import os
from dataclasses import dataclass, field
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import threestudio
from threestudio.models.geometry.base import BaseImplicitGeometry, contract_to_unisphere
from threestudio.models.mesh import Mesh
from threestudio.models.networks... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/models/geometry/__init__.py | threestudio/models/geometry/__init__.py | from . import (
base,
custom_mesh,
implicit_sdf,
implicit_volume,
tetrahedra_sdf_grid,
volume_grid,
)
| python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/models/geometry/base.py | threestudio/models/geometry/base.py | from dataclasses import dataclass, field
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import threestudio
from threestudio.models.isosurface import (
IsosurfaceHelper,
MarchingCubeCPUHelper,
MarchingTetrahedraHelper,
)
from threestudio.models.mesh import Mesh
from t... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/models/exporters/mesh_exporter.py | threestudio/models/exporters/mesh_exporter.py | from dataclasses import dataclass, field
import cv2
import numpy as np
import torch
import threestudio
from threestudio.models.background.base import BaseBackground
from threestudio.models.exporters.base import Exporter, ExporterOutput
from threestudio.models.geometry.base import BaseImplicitGeometry
from threestudio... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/models/exporters/__init__.py | threestudio/models/exporters/__init__.py | from . import base, mesh_exporter
| python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/models/exporters/base.py | threestudio/models/exporters/base.py | from dataclasses import dataclass
import threestudio
from threestudio.models.background.base import BaseBackground
from threestudio.models.geometry.base import BaseImplicitGeometry
from threestudio.models.materials.base import BaseMaterial
from threestudio.utils.base import BaseObject
from threestudio.utils.typing imp... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/models/materials/pbr_material.py | threestudio/models/materials/pbr_material.py | import random
from dataclasses import dataclass, field
import envlight
import numpy as np
import nvdiffrast.torch as dr
import torch
import torch.nn as nn
import torch.nn.functional as F
import threestudio
from threestudio.models.materials.base import BaseMaterial
from threestudio.utils.ops import get_activation
from... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/models/materials/sd_latent_adapter_material.py | threestudio/models/materials/sd_latent_adapter_material.py | import random
from dataclasses import dataclass, field
import torch
import torch.nn as nn
import torch.nn.functional as F
import threestudio
from threestudio.models.materials.base import BaseMaterial
from threestudio.utils.typing import *
@threestudio.register("sd-latent-adapter-material")
class StableDiffusionLate... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/models/materials/diffuse_with_point_light_material.py | threestudio/models/materials/diffuse_with_point_light_material.py | import random
from dataclasses import dataclass, field
import torch
import torch.nn as nn
import torch.nn.functional as F
import threestudio
from threestudio.models.materials.base import BaseMaterial
from threestudio.utils.ops import dot, get_activation
from threestudio.utils.typing import *
@threestudio.register("... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/models/materials/hybrid_rgb_latent_material.py | threestudio/models/materials/hybrid_rgb_latent_material.py | import random
from dataclasses import dataclass, field
import torch
import torch.nn as nn
import torch.nn.functional as F
import threestudio
from threestudio.models.materials.base import BaseMaterial
from threestudio.models.networks import get_encoding, get_mlp
from threestudio.utils.ops import dot, get_activation
fr... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/models/materials/__init__.py | threestudio/models/materials/__init__.py | from . import (
base,
diffuse_with_point_light_material,
hybrid_rgb_latent_material,
neural_radiance_material,
no_material,
pbr_material,
sd_latent_adapter_material,
)
| python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/models/materials/neural_radiance_material.py | threestudio/models/materials/neural_radiance_material.py | import random
from dataclasses import dataclass, field
import torch
import torch.nn as nn
import torch.nn.functional as F
import threestudio
from threestudio.models.materials.base import BaseMaterial
from threestudio.models.networks import get_encoding, get_mlp
from threestudio.utils.ops import dot, get_activation
fr... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/models/materials/no_material.py | threestudio/models/materials/no_material.py | import random
from dataclasses import dataclass, field
import torch
import torch.nn as nn
import torch.nn.functional as F
import threestudio
from threestudio.models.materials.base import BaseMaterial
from threestudio.models.networks import get_encoding, get_mlp
from threestudio.utils.ops import dot, get_activation
fr... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/models/materials/base.py | threestudio/models/materials/base.py | import random
from dataclasses import dataclass, field
import torch
import torch.nn as nn
import torch.nn.functional as F
import threestudio
from threestudio.utils.base import BaseModule
from threestudio.utils.typing import *
class BaseMaterial(BaseModule):
@dataclass
class Config(BaseModule.Config):
... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/models/guidance/DreamReward_guidance2.py | threestudio/models/guidance/DreamReward_guidance2.py | import sys
from dataclasses import dataclass, field
from typing import List
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from mvdream.camera_utils import convert_opengl_to_blender, normalize_camera
from mvdream.model_zoo import build_model
import threestudio
from threestudio.mod... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/models/guidance/multiview_diffusion_guidance.py | threestudio/models/guidance/multiview_diffusion_guidance.py | import sys
from dataclasses import dataclass, field
from typing import List
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from mvdream.camera_utils import convert_opengl_to_blender, normalize_camera
from mvdream.model_zoo import build_model
import threestudio
from threestudio.m... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/models/guidance/deep_floyd_guidance.py | threestudio/models/guidance/deep_floyd_guidance.py | from dataclasses import dataclass, field
import torch
import torch.nn as nn
import torch.nn.functional as F
from diffusers import IFPipeline
from diffusers.utils.import_utils import is_xformers_available
from tqdm import tqdm
import threestudio
from threestudio.models.prompt_processors.base import PromptProcessorOutp... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/models/guidance/stable_diffusion_vsd_guidance.py | threestudio/models/guidance/stable_diffusion_vsd_guidance.py | import random
from contextlib import contextmanager
from dataclasses import dataclass, field
import torch
import torch.nn as nn
import torch.nn.functional as F
from diffusers import (
DDPMScheduler,
DPMSolverMultistepScheduler,
StableDiffusionPipeline,
UNet2DConditionModel,
)
from diffusers.loaders imp... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/models/guidance/DreamReward_guidance1.py | threestudio/models/guidance/DreamReward_guidance1.py | import sys
from dataclasses import dataclass, field
from typing import List
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from mvdream.camera_utils import convert_opengl_to_blender, normalize_camera
from mvdream.model_zoo import build_model
import threestudio
from threestudio.mod... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/models/guidance/controlnet_guidance.py | threestudio/models/guidance/controlnet_guidance.py | import os
from dataclasses import dataclass
import cv2
import numpy as np
import torch
import torch.nn.functional as F
from controlnet_aux import CannyDetector, NormalBaeDetector
from diffusers import ControlNetModel, DDIMScheduler, StableDiffusionControlNetPipeline
from diffusers.utils.import_utils import is_xformers... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/models/guidance/stable_diffusion_guidance.py | threestudio/models/guidance/stable_diffusion_guidance.py | from dataclasses import dataclass, field
import torch
import torch.nn as nn
import torch.nn.functional as F
from diffusers import DDIMScheduler, DDPMScheduler, StableDiffusionPipeline
from diffusers.utils.import_utils import is_xformers_available
from tqdm import tqdm
import threestudio
from threestudio.models.prompt... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/models/guidance/stable_diffusion_unified_guidance.py | threestudio/models/guidance/stable_diffusion_unified_guidance.py | import random
from contextlib import contextmanager
from dataclasses import dataclass, field
import torch
import torch.nn as nn
import torch.nn.functional as F
from diffusers import (
AutoencoderKL,
ControlNetModel,
DDPMScheduler,
DPMSolverSinglestepScheduler,
StableDiffusionPipeline,
UNet2DCon... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/models/guidance/__init__.py | threestudio/models/guidance/__init__.py | from . import (
multiview_diffusion_guidance,
DreamReward_guidance1,
DreamReward_guidance2
)
| python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/models/guidance/deep_floyd_finetune_guidance.py | threestudio/models/guidance/deep_floyd_finetune_guidance.py | from dataclasses import dataclass, field
import torch
import torch.nn as nn
import torch.nn.functional as F
from diffusers import IFPipeline
from diffusers.utils.import_utils import is_xformers_available
from tqdm import tqdm
import threestudio
from threestudio.models.prompt_processors.base import PromptProcessorOutp... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/models/guidance/zero123_guidance.py | threestudio/models/guidance/zero123_guidance.py | import importlib
import os
from dataclasses import dataclass, field
import cv2
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from diffusers import DDIMScheduler, DDPMScheduler, StableDiffusionPipeline
from diffusers.utils.import_utils import is_xformers_available
from omegaconf ... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/models/guidance/instructpix2pix_guidance.py | threestudio/models/guidance/instructpix2pix_guidance.py | from dataclasses import dataclass
import cv2
import numpy as np
import torch
import torch.nn.functional as F
from diffusers import DDIMScheduler, StableDiffusionInstructPix2PixPipeline
from diffusers.utils.import_utils import is_xformers_available
from tqdm import tqdm
import threestudio
from threestudio.models.promp... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/models/guidance/zero123_unified_guidance.py | threestudio/models/guidance/zero123_unified_guidance.py | import os
import random
import sys
from contextlib import contextmanager
from dataclasses import dataclass, field
import torch
import torch.nn as nn
import torch.nn.functional as F
import torchvision.transforms.functional as TF
from diffusers import (
AutoencoderKL,
DDPMScheduler,
DPMSolverSinglestepSchedu... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/models/prompt_processors/dummy_prompt_processor.py | threestudio/models/prompt_processors/dummy_prompt_processor.py | import json
import os
from dataclasses import dataclass
import threestudio
from threestudio.models.prompt_processors.base import PromptProcessor, hash_prompt
from threestudio.utils.misc import cleanup
from threestudio.utils.typing import *
@threestudio.register("dummy-prompt-processor")
class DummyPromptProcessor(Pr... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/models/prompt_processors/deepfloyd_prompt_processor.py | threestudio/models/prompt_processors/deepfloyd_prompt_processor.py | import json
import os
from dataclasses import dataclass
import torch
import torch.nn as nn
from diffusers import IFPipeline
from transformers import T5EncoderModel, T5Tokenizer
import threestudio
from threestudio.models.prompt_processors.base import PromptProcessor, hash_prompt
from threestudio.utils.misc import clea... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/models/prompt_processors/__init__.py | threestudio/models/prompt_processors/__init__.py | from . import (
base,
deepfloyd_prompt_processor,
dummy_prompt_processor,
stable_diffusion_prompt_processor,
)
| python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/models/prompt_processors/base.py | threestudio/models/prompt_processors/base.py | import json
import os
from dataclasses import dataclass, field
import torch
import torch.multiprocessing as mp
import torch.nn as nn
import torch.nn.functional as F
from pytorch_lightning.utilities.rank_zero import rank_zero_only
from transformers import AutoTokenizer, BertForMaskedLM
import threestudio
from threestu... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/models/prompt_processors/stable_diffusion_prompt_processor.py | threestudio/models/prompt_processors/stable_diffusion_prompt_processor.py | import json
import os
from dataclasses import dataclass
import torch
import torch.nn as nn
from transformers import AutoTokenizer, CLIPTextModel
import threestudio
from threestudio.models.prompt_processors.base import PromptProcessor, hash_prompt
from threestudio.utils.misc import cleanup
from threestudio.utils.typin... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/utils/typing.py | threestudio/utils/typing.py | """
This module contains type annotations for the project, using
1. Python type hints (https://docs.python.org/3/library/typing.html) for Python objects
2. jaxtyping (https://github.com/google/jaxtyping/blob/main/API.md) for PyTorch tensors
Two types of typing checking can be used:
1. Static type checking with mypy (i... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/utils/callbacks.py | threestudio/utils/callbacks.py | import os
import shutil
import subprocess
import pytorch_lightning
from threestudio.utils.config import dump_config
from threestudio.utils.misc import parse_version
if parse_version(pytorch_lightning.__version__) > parse_version("1.8"):
from pytorch_lightning.callbacks import Callback
else:
from pytorch_ligh... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/utils/ops.py | threestudio/utils/ops.py | from collections import defaultdict
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from igl import fast_winding_number_for_meshes, point_mesh_squared_distance, read_obj
from torch.autograd import Function
from torch.cuda.amp import custom_bwd, custom_fwd
import threestudio
from ... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/utils/rasterize.py | threestudio/utils/rasterize.py | import nvdiffrast.torch as dr
import torch
from threestudio.utils.typing import *
class NVDiffRasterizerContext:
def __init__(self, context_type: str, device: torch.device) -> None:
self.device = device
self.ctx = self.initialize_context(context_type, device)
def initialize_context(
... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/utils/misc.py | threestudio/utils/misc.py | import gc
import os
import re
import tinycudann as tcnn
import torch
from packaging import version
from threestudio.utils.config import config_to_primitive
from threestudio.utils.typing import *
def parse_version(ver: str):
return version.parse(ver)
def get_rank():
# SLURM_PROCID can be set even if SLURM ... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/utils/config.py | threestudio/utils/config.py | import os
from dataclasses import dataclass, field
from datetime import datetime
from omegaconf import OmegaConf
import threestudio
from threestudio.utils.typing import *
# ============ Register OmegaConf Recolvers ============= #
OmegaConf.register_new_resolver(
"calc_exp_lr_decay_rate", lambda factor, n: facto... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/utils/__init__.py | threestudio/utils/__init__.py | from . import base
| python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/utils/base.py | threestudio/utils/base.py | from dataclasses import dataclass
import torch
import torch.nn as nn
from threestudio.utils.config import parse_structured
from threestudio.utils.misc import get_device, load_module_weights
from threestudio.utils.typing import *
class Configurable:
@dataclass
class Config:
pass
def __init__(sel... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/utils/saving.py | threestudio/utils/saving.py | import json
import os
import re
import shutil
import cv2
import imageio
import matplotlib.pyplot as plt
import numpy as np
import torch
import trimesh
import wandb
from matplotlib import cm
from matplotlib.colors import LinearSegmentedColormap
from PIL import Image, ImageDraw
from pytorch_lightning.loggers import Wand... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/utils/perceptual/utils.py | threestudio/utils/perceptual/utils.py | import hashlib
import os
import requests
from tqdm import tqdm
URL_MAP = {"vgg_lpips": "https://heibox.uni-heidelberg.de/f/607503859c864bc1b30b/?dl=1"}
CKPT_MAP = {"vgg_lpips": "vgg.pth"}
MD5_MAP = {"vgg_lpips": "d507d7349b931f0638a25a48a722f98a"}
def download(url, local_path, chunk_size=1024):
os.makedirs(os... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/utils/perceptual/perceptual.py | threestudio/utils/perceptual/perceptual.py | """Stripped version of https://github.com/richzhang/PerceptualSimilarity/tree/master/models"""
from collections import namedtuple
import torch
import torch.nn as nn
from torchvision import models
from threestudio.utils.perceptual.utils import get_ckpt_path
class PerceptualLoss(nn.Module):
# Learned perceptual ... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/utils/perceptual/__init__.py | threestudio/utils/perceptual/__init__.py | from .perceptual import PerceptualLoss
| python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/utils/GAN/vae.py | threestudio/utils/GAN/vae.py | # pytorch_diffusion + derived encoder decoder
import math
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from einops import rearrange
from threestudio.utils.GAN.attention import LinearAttention
from threestudio.utils.GAN.util import instantiate_from_config
def get_timestep_emb... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/utils/GAN/discriminator.py | threestudio/utils/GAN/discriminator.py | import functools
import torch
import torch.nn as nn
def count_params(model):
total_params = sum(p.numel() for p in model.parameters())
return total_params
class ActNorm(nn.Module):
def __init__(
self, num_features, logdet=False, affine=True, allow_reverse_init=False
):
assert affine... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/utils/GAN/util.py | threestudio/utils/GAN/util.py | import importlib
import multiprocessing as mp
from collections import abc
from functools import partial
from inspect import isfunction
from queue import Queue
from threading import Thread
import numpy as np
import torch
from einops import rearrange
from PIL import Image, ImageDraw, ImageFont
def log_txt_as_img(wh, x... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/utils/GAN/network_util.py | threestudio/utils/GAN/network_util.py | # adopted from
# https://github.com/openai/improved-diffusion/blob/main/improved_diffusion/gaussian_diffusion.py
# and
# https://github.com/lucidrains/denoising-diffusion-pytorch/blob/7706bdfc6f527f58d33f84b7b522e61e6e3164b3/denoising_diffusion_pytorch/denoising_diffusion_pytorch.py
# and
# https://github.com/openai/gu... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/utils/GAN/mobilenet.py | threestudio/utils/GAN/mobilenet.py | import torch
import torch.nn as nn
import torch.nn.functional as F
__all__ = ["MobileNetV3", "mobilenetv3"]
def conv_bn(
inp,
oup,
stride,
conv_layer=nn.Conv2d,
norm_layer=nn.BatchNorm2d,
nlin_layer=nn.ReLU,
):
return nn.Sequential(
conv_layer(inp, oup, 3, stride, 1, bias=False),
... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/utils/GAN/loss.py | threestudio/utils/GAN/loss.py | import torch
import torch.nn.functional as F
def generator_loss(discriminator, inputs, reconstructions, cond=None):
if cond is None:
logits_fake = discriminator(reconstructions.contiguous())
else:
logits_fake = discriminator(
torch.cat((reconstructions.contiguous(), cond), dim=1)
... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/utils/GAN/attention.py | threestudio/utils/GAN/attention.py | import math
from inspect import isfunction
import torch
import torch.nn.functional as F
from einops import rearrange, repeat
from torch import einsum, nn
from threestudio.utils.GAN.network_util import checkpoint
def exists(val):
return val is not None
def uniq(arr):
return {el: True for el in arr}.keys()
... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/utils/GAN/distribution.py | threestudio/utils/GAN/distribution.py | import numpy as np
import torch
class AbstractDistribution:
def sample(self):
raise NotImplementedError()
def mode(self):
raise NotImplementedError()
class DiracDistribution(AbstractDistribution):
def __init__(self, value):
self.value = value
def sample(self):
retur... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/systems/latentnerf.py | threestudio/systems/latentnerf.py | from dataclasses import dataclass, field
import torch
import threestudio
from threestudio.systems.base import BaseLift3DSystem
from threestudio.utils.ops import ShapeLoss, binary_cross_entropy, dot
from threestudio.utils.typing import *
@threestudio.register("latentnerf-system")
class LatentNeRF(BaseLift3DSystem):
... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/systems/mvdream.py | threestudio/systems/mvdream.py | import os
from dataclasses import dataclass, field
import torch
import threestudio
from threestudio.systems.base import BaseLift3DSystem
from threestudio.utils.misc import cleanup, get_device
from threestudio.utils.ops import binary_cross_entropy, dot
from threestudio.utils.typing import *
@threestudio.register("mv... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/systems/textmesh.py | threestudio/systems/textmesh.py | from dataclasses import dataclass, field
import torch
import threestudio
from threestudio.systems.base import BaseLift3DSystem
from threestudio.utils.ops import binary_cross_entropy, dot
from threestudio.utils.typing import *
@threestudio.register("textmesh-system")
class TextMesh(BaseLift3DSystem):
@dataclass
... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
liuff19/DreamReward | https://github.com/liuff19/DreamReward/blob/eeb5c648e6c2a25c8f6f8038edfe75d73c811614/threestudio/systems/zero123_simple.py | threestudio/systems/zero123_simple.py | from dataclasses import dataclass, field
import torch
import threestudio
from threestudio.systems.base import BaseLift3DSystem
from threestudio.utils.ops import binary_cross_entropy, dot
from threestudio.utils.typing import *
@threestudio.register("zero123-simple-system")
class Zero123Simple(BaseLift3DSystem):
... | python | MIT | eeb5c648e6c2a25c8f6f8038edfe75d73c811614 | 2026-01-05T07:14:33.752935Z | false |
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