wenhao728/awesome-diffusion-v2v
Awesome diffusion Video-to-Video (V2V). A collection of paper on diffusion model-based video editing, aka. video-to-video (V2V) translation. And a video editing benchmark code.
This is a curated collection of cutting-edge research papers and a benchmark for video editing using advanced AI models. It helps video creators and researchers understand and apply techniques that transform existing video footage based on specific instructions. You can input a video and an editing goal, and learn about methods to produce a modified video, allowing for sophisticated visual changes.
280 stars.
Use this if you are a video editor, animator, or researcher interested in the latest AI-driven methods for altering and enhancing video content.
Not ideal if you are looking for a ready-to-use software tool for basic video cuts or simple effects without needing to delve into underlying research.
Stars
280
Forks
9
Language
Python
License
MIT
Category
Last pushed
Nov 24, 2025
Commits (30d)
0
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