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  [![Project page](https://img.shields.io/badge/Project-Page-brightgreen)](https://myniuuu.github.io/MOFA_Video)
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  ## Introduction
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  <p align="center">
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  <img src="assets/images/project-mofa.png">
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  </p>
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  We introduce MOFA-Video, a method designed to adapt motions from different domains to the frozen Video Diffusion Model. By employing <u>sparse-to-dense (S2D) motion generation</u> and <u>flow-based motion adaptation</u>, MOFA-Video can effectively animate a single image using various types of control signals, including trajectories, keypoint sequences, AND their combinations.
 
 
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  <p align="center">
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  <img src="assets/images/pipeline.png">
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  </p>
 
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  [![Project page](https://img.shields.io/badge/Project-Page-brightgreen)](https://myniuuu.github.io/MOFA_Video)
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  ## Introduction
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  <p align="center">
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  <img src="assets/images/project-mofa.png">
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  </p>
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  We introduce MOFA-Video, a method designed to adapt motions from different domains to the frozen Video Diffusion Model. By employing <u>sparse-to-dense (S2D) motion generation</u> and <u>flow-based motion adaptation</u>, MOFA-Video can effectively animate a single image using various types of control signals, including trajectories, keypoint sequences, AND their combinations.
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  <p align="center">
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  <img src="assets/images/pipeline.png">
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  </p>