| --- |
| license: apache-2.0 |
| --- |
| ## 🚀 Dataset Usage |
| To facilitate researchers, we provide the processed 272-dim Motion Representation of [BABEL](https://babel.is.tue.mpg.de/) dataset in this Hugging Face repo. |
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| Motions are resampled into 30 FPS. |
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| NOTE: ``t2m_babel_mean_std/`` contains the joint mean and std of both HumanML3D and BABEL dataset for joint training of the proposed [Causal TAE](https://github.com/zju3dv/MotionStreamer/blob/main/TRAIN_causal_TAE.sh). |
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| ❗️❗️❗️ The processed data is solely for academic purposes. Make sure you read through the [BABEL License](https://babel.is.tue.mpg.de/license.html). |
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| ## 📖 Paper & Project Page & Code |
| * [Arxiv Paper](https://arxiv.org/abs/2503.15451) |
| * [Project Page](https://zju3dv.github.io/MotionStreamer/) |
| * [Code](https://github.com/zju3dv/MotionStreamer) |
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| ## 🏃 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). |
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| ## 🌹 Acknowledgement |
| This repository builds upon the following awesome datasets and projects: |
| - [BABEL](https://babel.is.tue.mpg.de/) |
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| ## 🤝🏼 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} |
| } |
| ``` |
