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---
license: apache-2.0
task_categories:
- text-to-video
---
## πŸš€ Dataset Usage
To facilitate researchers, we provide the processed 272-dim Motion Representation of [HumanML3D](https://github.com/EricGuo5513/HumanML3D) dataset in this Hugging Face repo.
❗️❗️❗️ The processed data is solely for academic purposes. Make sure you read through the [AMASS License](https://amass.is.tue.mpg.de/license.html).
## πŸš€ Paper & Project Page
* [Paper](https://huggingface.co/papers/2503.15451)
* [Project Page](https://zju3dv.github.io/MotionStreamer/)
## πŸƒ Processing script
For more details of how to obtain the 272-dim motion representation, as well as other useful tools (e.g., Visualization and Conversion to BVH format), please refer to our [GitHub repo](https://github.com/Li-xingXiao/272-dim-Motion-Representation).
## 🌹 Acknowledgement
This repository builds upon the following awesome datasets and projects:
- [AMASS](https://amass.is.tue.mpg.de/index.html)
- [HumanML3D](https://github.com/EricGuo5513/HumanML3D)
## 🀝🏼 Citation
If our project is helpful for your research, please consider citing :
```
@article{xiao2025motionstreamer,
title={MotionStreamer: Streaming Motion Generation via Diffusion-based Autoregressive Model in Causal Latent Space},
author={Xiao, Lixing and Lu, Shunlin and Pi, Huaijin and Fan, Ke and Pan, Liang and Zhou, Yueer and Feng, Ziyong and Zhou, Xiaowei and Peng, Sida and Wang, Jingbo},
journal={arXiv preprint arXiv:2503.15451},
year={2025}
}
```