| --- |
| license: apache-2.0 |
| tags: |
| - motion-inbetweening |
| - keypose-extraction |
| - character-animation |
| - adaptive-interpolation-synthesis |
| --- |
| |
| ## Model Description |
|
|
| This is the AIS-BiLSTM model accompanying the paper: |
|
|
| https://arxiv.org/abs/2605.02742 |
|
|
| > Raël et al., "Adaptive Interpolation-Synthesis for Motion In-Betweening on Keyframe-Based Animation", |
| > SIGGRAPH 2026 Conference Papers (2026) |
|
|
| The AIS-BiLSTM model takes as input a tensor of shape N×(D+1), where N is the number of frames in the sequence and D=596 is the pose dimension. The K input keyposes are placed at their target frame indices in the first D channels, with all other frames zero-filled. The last channel is a binary mask flagging the K keypose positions. The model predicts the full N×D pose sequence. |
|
|
| ## Model Details |
|
|
| | Property | Value | |
| | ------------------------ | ------------------------------------------------------------ | |
| | Framework | PyTorch Lightning | |
| | Checkpoint format | `.safetensors` | |
| | Input | Masked sequence of shape N×(D+1) | |
| | Output | Completed sequence of shape N×D | |
| | Pose dimensionality | D = 596 | |
| | Training sequence length | N=224 frames (fixed); variable length supported at inference | |
| | Frame rate | 24 fps | |
|
|
| ## Usage |
|
|
| See the [GitHub repository](https://github.com/animaj-lab/mib-ais) |
|
|
| ## Training Data |
|
|
| Trained on the `train` split of the [mib_rig_controllers_values](https://huggingface.co/datasets/AnimajSAS/mib_rig_controllers_values) dataset, comprising ~8.1 hours of professionally handcrafted animation at 24 fps. |
|
|
| ## Test Data |
|
|
| Evaluated on three test splits of the [mib_rig_controllers_values](https://huggingface.co/datasets/AnimajSAS/mib_rig_controllers_values) dataset: |
|
|
| | Split | Schedule | Description | |
| | --------------------------- | -------------- | ---------------------------------------------------------------------------------- | |
| | `test_held_out_algorithmic` | DBA | Held-Out set with a deterministic keypose schedule from the domain-based algorithm | |
| | `test_held_out_random` | Random (r=0.9) | Held-Out set with a random keypose schedule | |
| | `test_production` | Block | 5 min production data with ground-truth block keyposes | |
|
|
| ## License |
|
|
| Apache 2.0 |
|
|
