README.md

---
license: mit
---
# SCAIL: Towards Studio-Grade Character Animation via In-Context Learning of 3D-Consistent Pose Representations


<div align="center">
  <a href="https://arxiv.org/abs/2512.05905">
    <img src="https://img.shields.io/badge/📖%20arXiv-2512.05905-red">
  </a>
  <a href="https://teal024.github.io/SCAIL/">
    <img src="https://img.shields.io/badge/🌐%20Project%20Page-green">
  </a>
  <a href="https://github.com/zai-org/SCAIL">
    <img src="https://img.shields.io/badge/🐙%20GitHub-Repo-181717?logo=github&logoColor=white">
  </a>
</div>


This repository contains the model weights for **SCAIL (Studio-Grade Character Animation via In-Context Learning)**, a framework that enables high-fidelity character animation under diverse and challenging conditions, including large motion variations, stylized characters, and multi-character interactions.

## 🔎 Project Page
Check our model architecture design, our video demo, as well as more comparisons against other baselines at [this link](https://teal024.github.io/SCAIL/), more creative examples will be added to the gallery soon.


## 📋 Note
This repository only contains the model weights for the SCAIL model, for model inference and our plan, please refer to the [official repository](https://github.com/teal024/SCAIL-Official). For pose extraction, please refer to the [SCAIL-Pose](https://github.com/teal024/SCAIL-Pose).

## 📄 Citation

If you find this work useful in your research, please cite:

```bibtex
@article{yan2025scail,
  title={SCAIL: Towards Studio-Grade Character Animation via In-Context Learning of 3D-Consistent Pose Representations},
  author={Yan, Wenhao and Ye, Sheng and Yang, Zhuoyi and Teng, Jiayan and Dong, ZhenHui and Wen, Kairui and Gu, Xiaotao and Liu, Yong-Jin and Tang, Jie},
  journal={arXiv preprint arXiv:2512.05905},
  year={2025}
}
```