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README.md
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---
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license: mit
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library_name: pytorch
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datasets:
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- YuCrazing/ClothTransformer-dataset
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tags:
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- cloth-simulation
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- physics-simulation
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- transformer
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---
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# ClothTransformer Checkpoint
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Pretrained weights for **ClothTransformer: Unified Latent-Space Transformers for Scalable Cloth Simulation** (NeurIPS 2026).
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- Paper: https://huggingface.co/papers/2605.27852 ([arXiv](https://arxiv.org/abs/2605.27852))
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- Project page: https://yucrazing.github.io/clothtransformer/
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- Code: https://github.com/YuCrazing/ClothTransformer
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- Dataset: https://huggingface.co/datasets/YuCrazing/ClothTransformer-dataset
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## Files
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| File | Description |
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| --- | --- |
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| `ct-no-ccd-preview.pt` | Preview checkpoint used in the repository examples |
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## Usage
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Install the code following the [repository README](https://github.com/YuCrazing/ClothTransformer), then:
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```bash
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hf download YuCrazing/ClothTransformer-checkpoint ct-no-ccd-preview.pt --local-dir checkpoints
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python scripts/download_data.py --file-list examples/showcase.txt
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python main.py infer.ckpt=checkpoints/ct-no-ccd-preview.pt infer.sim=sims_garment_anim_all/sim_00005
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```
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## Citation
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```bibtex
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@inproceedings{zhang2026clothtransformer,
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title = {ClothTransformer: Unified Latent-Space Transformers for Scalable Cloth Simulation},
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author = {Zhang, Yu and Shao, Yidi and Ouyang, Wenqi and Lan, Yushi and Liang, Zhexin and Wu, Chengrui and Xu, Xudong and Pan, Xingang},
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booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
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year = {2026},
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url = {https://arxiv.org/abs/2605.27852}
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}
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```
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