#262 · Primary category: Video & Animation

AnyV2V

deep-learning generative-ai image-editing image-to-video-generation pytorch video-editing video-synthesis

Code and data for "AnyV2V: A Tuning-Free Framework For Any Video-to-Video Editing Tasks" [TMLR 2024]

Project last updated:10/29/24

GitHub Stars

656

Forks

49

Contributors

5

License

MIT

Why we included this project

AnyV2V turns video editing into an image editing problem: you edit a single frame with whatever image editing method you like, and the framework carries that change across the clip while keeping appearance and motion consistent. Because it needs no training or fine-tuning, it can sit on top of tools like InstructPix2Pix or InstantStyle for prompt-based edits or style transfer. The repo includes local Gradio demos, notebook walkthroughs, and config-driven scripts for inverting latents and running the edit pipeline, so it's approachable if you want to reproduce results or adapt the approach to your own footage. It's a research codebase tied to a TMLR paper, so expect to work with configs and scripts rather than a polished product, but that makes it a solid base for teams exploring consistent video editing.

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