Awesome Image Inpainting
A curated list of academic papers and resources for image and video inpainting techniques.
What is Awesome Image Inpainting?
Awesome-Inpainting-Tech is a curated, community-maintained list of academic papers, codebases, and resources dedicated to image and video inpainting. It solves the problem of fragmented research discovery by aggregating the latest methods—from classical patch-based techniques to modern diffusion and GAN-based models—into a single, automatically generated repository. This enables rapid literature review and access to implementations for developers and researchers.
Computer vision researchers, AI engineers, and graduate students who need a comprehensive, up-to-date reference for state-of-the-art inpainting techniques and their code implementations.
Developers choose this over manually searching academic portals because it provides a centralized, chronologically organized, and code-linked resource that is continuously updated by the community, saving significant time in literature review and project scoping.
Overview
A curated list of image inpainting and video inpainting papers and resources
Use Cases
Best For
- Finding the latest research papers on image completion and object removal
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