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license: apache-2.0
base_model: THUDM/CogVideoX-5b-I2V
tags:
- video-generation
- cogvideox
- motion-control
- driving
- physics
---
# Motion Forcing: A Decoupled Framework for Robust Video Generation in Motion Dynamics
[](https://arxiv.org/abs/2603.10408)
[](https://tianshuo-xu.github.io/Motion-Forcing/)
[](https://github.com/Tianshuo-Xu/Motion-Forcing)
- **Base model**: [THUDM/CogVideoX-5b-I2V](https://huggingface.co/THUDM/CogVideoX-5b-I2V)
- **Task**: Image-to-video generation with motion control
## Usage
```bash
git clone https://github.com/Tianshuo-Xu/Motion-Forcing
cd Motion-Forcing
pip install -r requirements.txt
python gradio_demo.py
```
The model weights are downloaded automatically from this repo via `diffusers`. See the [GitHub repository](https://github.com/Tianshuo-Xu/Motion-Forcing) for full setup instructions and CLI options.
## Demo & Results
Visit the [project page](https://tianshuo-xu.github.io/Motion-Forcing/) for video comparisons across driving scenes, physics simulations, and embodied AI tasks.
## Citation
```bibtex
@misc{xu2026motion,
title={Motion Forcing: A Decoupled Framework for Robust Video Generation in Motion Dynamics},
author={Tianshuo Xu and Zhifei Chen and Leyi Wu and Hao Lu and Ying-cong Chen},
year={2026},
eprint={2603.10408},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2603.10408},
}
```
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