https://github.com/lukasuz/MotionDreamer

MotionDreamer: Zero-Shot 3D Mesh Animation from Video Diffusion Models
https://github.com/lukasuz/MotionDreamer

Last synced: 2 months ago
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MotionDreamer: Zero-Shot 3D Mesh Animation from Video Diffusion Models

• Host: GitHub
• URL: https://github.com/lukasuz/MotionDreamer
• Owner: lukasuz
• Created: 2024-04-26T19:22:45.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2024-07-23T12:06:31.000Z (6 months ago)
• Last Synced: 2024-08-01T18:41:28.706Z (5 months ago)
• Homepage: https://lukas.uzolas.com/MotionDreamer/
• Size: 4.92 MB
• Stars: 15
• Watchers: 5
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
## MotionDreamer: Zero-Shot 3D Mesh Animation from Video Diffusion Models

![Header animation](./static/imgs/header.gif)

[Project page](https://lukas.uzolas.com/MotionDreamer/)

Animation techniques bring digital 3D worlds and characters to life. However, manual animation is tedious and automated techniques are often specialized to narrow shape classes. In our work, we propose a technique for automatic re-animation of arbitrary 3D shapes based on a motion prior extracted from a video diffusion model. Unlike existing 4D generation methods, we focus solely on the motion, and we leverage an explicit mesh-based representation compatible with existing computer-graphics pipelines. Furthermore, our utilization of diffusion features enhances accuracy of our motion fitting. We analyze efficacy of these features for animation fitting and we experimentally validate our approach for two different diffusion models and four animation models. Finally, we demonstrate that our time-efficient zero-shot method achieves a superior performance re-animating a diverse set of 3D shapes when compared to existing techniques in a user study.