---
license: mit
pipeline_tag: image-to-video
tags:
- character-animation
- 3d-pose
- motion-transfer
---

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


<div align="center">
  <a href="https://huggingface.co/papers/2512.05905">
    <img src="https://img.shields.io/badge/📖%20Paper-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>


**SCAIL** (Studio-grade Character Animation via In-context Learning) is a framework designed to achieve high-fidelity character animation that meets studio standards. It addresses challenges in preserving structural fidelity and temporal consistency during motion transfer, especially in complex scenarios involving large motions and multi-character interactions.

Key features include:
- **3D-Consistent Pose Representations**: Provides a robust and flexible motion signal while preventing identity leakage.
- **Full-Context Pose Injection**: Enables effective spatio-temporal reasoning over entire motion sequences within a diffusion-transformer.
- **Studio-Grade Quality**: Trained on a curated data pipeline to ensure diversity and quality.

This repository contains the model weights for the **SCAIL-Preview (14B)** model.

## 🔎 Project Page
Check the model architecture design, video demos, and comparisons against other baselines at the [official project page](https://teal024.github.io/SCAIL/).

## 📋 Note
This repository contains the model weights for the SCAIL model. For model inference, environment setup, and the roadmap, please refer to the [official repository](https://github.com/teal024/SCAIL-Official). For pose extraction tools, refer to [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 English 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}
}
```

## 👥 Authors
[Wenhao Yan](https://huggingface.co/wenhaoyan77), Sheng Ye, Zhuoyi Yang, [Jiayan Teng](https://huggingface.co/tengjiayan), ZhenHui Dong, [Kairui Wen](https://huggingface.co/SKearbvaanl), [Xiaotao Gu](https://huggingface.co/xgeric), Yong-Jin Liu, [Jie Tang](https://huggingface.co/jerytang).