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- ---
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- license: mit
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: apache-2.0
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+ base_model: THUDM/CogVideoX-5b-I2V
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+ tags:
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+ - video-generation
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+ - cogvideox
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+ - motion-control
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+ - driving
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+ - physics
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+ ---
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+
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+ # Motion Forcing: A Decoupled Framework for Robust Video Generation in Motion Dynamics
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+
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+ [![arXiv](https://img.shields.io/badge/arXiv-XXXX.XXXXX-b91c1c?style=flat&logo=arxiv)](https://arxiv.org/abs/XXXX.XXXXX)
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+ [![Project Page](https://img.shields.io/badge/Project%20Page-Motion%20Forcing-2d6a4f?style=flat&logo=github)](https://tianshuo-xu.github.io/Motion-Forcing/)
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+ [![GitHub](https://img.shields.io/badge/GitHub-Repo-24292e?style=flat&logo=github)](https://github.com/Tianshuo-Xu/Motion-Forcing)
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+
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+
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+ - **Base model**: [THUDM/CogVideoX-5b-I2V](https://huggingface.co/THUDM/CogVideoX-5b-I2V)
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+ - **Task**: Image-to-video generation with motion control
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+
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+ ## Usage
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+
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+ ```bash
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+ git clone https://github.com/Tianshuo-Xu/Motion-Forcing
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+ cd Motion-Forcing
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+ pip install -r requirements.txt
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+ python gradio_demo.py
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+ ```
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+
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+ 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.
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+
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+ ## Demo & Results
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+
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+ Visit the [project page](https://tianshuo-xu.github.io/Motion-Forcing/) for video comparisons across driving scenes, physics simulations, and embodied AI tasks.
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @article{motionforcing2025,
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+ title = {Motion Forcing: A Decoupled Framework for Robust Video Generation in Motion Dynamics},
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+ author = {Tianshuo Xu and others},
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+ journal = {arXiv preprint arXiv:XXXX.XXXXX},
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+ year = {2025}
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+ }
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+ ```