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MOFA-Video
Python

MOFA-Video

[ECCV 2024] MOFA-Video: Controllable Image Animation via Generative Motion Field Adaptions in Frozen Image-to-Video Diffusion Model.

by MyNiuuu · GitHub
766
Stars
51
Forks
+2 this week
Trending
2024
Created
1 yr ago
Last commit
aigc
Category
Python
Language
aigccontrollable-generationdiffusion-modelsPython
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In plain words

Animate images by generating motion fields using a specific image-to-video model for creative projects.

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2026-07-202026-08-31
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📄 About

[ECCV 2024] MOFA-Video: Controllable Image Animation via Generative Motion Field Adaptions in Frozen Image-to-Video Diffusion Model.

MOFA-Video has 766 stars on GitHub. It has been forked 51 times. MOFA-Video is written mainly in Python. It has been in active development since 2024. Its main topics are aigc, controllable-generation, diffusion-models, eccv2024.

❓ Frequently asked questions

What is MOFA-Video?

[ECCV 2024] MOFA-Video: Controllable Image Animation via Generative Motion Field Adaptions in Frozen Image-to-Video Diffusion Model.

Is MOFA-Video open source?

MOFA-Video is an open-source project.

Is MOFA-Video free?

Yes. MOFA-Video is free and open source — you can use, modify and self-host it.

What language is MOFA-Video written in?

MOFA-Video is written mainly in Python.

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