metadata
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
- Base model: THUDM/CogVideoX-5b-I2V
- Task: Image-to-video generation with motion control
Usage
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 for full setup instructions and CLI options.
Demo & Results
Visit the project page for video comparisons across driving scenes, physics simulations, and embodied AI tasks.
Citation
@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},
}