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