Commit Β·
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Parent(s):
Super-squash branch 'main' using huggingface_hub
Browse files- .gitattributes +35 -0
- README.md +64 -0
- video2pos2rot_epoch60.pt +3 -0
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README.md
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---
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license: mit
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pipeline_tag: keypoint-detection
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tags:
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- arxiv:2604.28130
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- motion-capture
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- keypoint-detection
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- animation
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- pose-estimation
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- bvh
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- retargeting
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- animals
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library_name: pytorch
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---
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# MoCapAnything V2 β Pretrained Weights
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**End-to-End Motion Capture for Arbitrary Skeletons from Monocular Videos.**
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This repo hosts the released end-to-end `video2pose2rot` checkpoint: a single network that maps a monocular video (plus a one-frame reference pose of the target species) directly to BVH-ready joint rotations β no analytical IK in the loop.
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- π Paper: [MoCapAnything V2 on HF Papers](https://huggingface.co/papers/2604.28130) Β· [arXiv:2604.28130](https://arxiv.org/abs/2604.28130) Β· Project page: [animotionlab.github.io/MoCapAnythingV2](https://animotionlab.github.io/MoCapAnythingV2/)
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- π» Code: [github.com/phongdaot/MocapAnything](https://github.com/phongdaot/MocapAnything)
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- π Demo data: [kehong/MoCapAnythingV2-data-sample](https://huggingface.co/datasets/kehong/MoCapAnythingV2-data-sample)
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## Files
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| File | Description |
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| --- | --- |
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| `video2pos2rot_epoch60.pt` | End-to-end video β pose β rotation model (β464 MB) |
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The background remover (`briaai/RMBG-1.4`) and the video encoder (`facebook/dinov2-large`) are pulled automatically from their own HuggingFace repos at runtime β they are not re-hosted here.
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## Usage
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```bash
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git clone https://github.com/phongdaot/MocapAnything.git && cd MocapAnything
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pip install torch torchvision numpy opencv-python pillow matplotlib scipy scikit-image \
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trimesh roma pyyaml tqdm huggingface_hub transformers gradio imageio-ffmpeg
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hf download kehong/MoCapAnythingV2-weights --local-dir ./checkpoints
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hf download kehong/MoCapAnythingV2-data-sample --repo-type dataset --local-dir ./demo/data
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# command-line inference on the bundled examples
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python inference/video2pose2rot.py --config demo/configs/demo_wild.yaml
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# or the interactive Gradio demo
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python demo/app.py
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```
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See the repo's [RUN.md](https://github.com/phongdaot/MocapAnything/blob/main/RUN.md) for the Blender render setup and full options.
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## Citation
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```bibtex
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@article{gong2026mocapanythingv2,
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title = {MoCapAnything V2: End-to-End Motion Capture for Arbitrary Skeletons},
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author = {Gong, Kehong and Wen, Zhengyu and Phong, Dao Thien and
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Xu, Mingxi and He, Weixia and Wang, Qi and Zhang, Ning and
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Li, Zhengyu and Hou, Guanli and Lian, Dongze and He, Xiaoyu and
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Zhang, Mingyuan and Zhang, Hanwang},
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journal = {arXiv preprint arXiv:2604.28130},
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year = {2026}
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}
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```
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version https://git-lfs.github.com/spec/v1
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oid sha256:f201f553225e937c743486db05c1edf10af37dce096d0c0e8722dda90de0b28f
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size 463907650
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