Awesome-Image-Inpainting

Why we included this project

Image and video inpainting research moves fast, and this list is a handy way to keep up. It groups papers by year and venue, with links to the arXiv version, the official code, and the project page for each entry, so you can go from reading an abstract to running the implementation without much hunting. The coverage runs from classical completion methods to the current diffusion-based work, and it also picks up adjacent tasks like face completion and object removal. That makes it useful whether you are adding a photo-editing feature, cleaning up old footage, or just trying to figure out what has been done in the area. It is community-maintained and takes pull requests, so new conference papers tend to show up quickly.