# zengyh1900/Awesome-Image-Inpainting

A curated list of image inpainting and video inpainting papers and resources

Repository: https://github.com/zengyh1900/Awesome-Image-Inpainting
Canonical: https://ross.abutalabs.com/products/awesome-image-inpainting
Language: Python
License Family: other
Topics: image-inpainting, face-completion, video-inpainting, paper-list
Last push: 2026-02-09T13:30:33+00:00

## Health v2 (maintenance only)
Score: 62/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 66, release rhythm 35, longevity 100
- inputs: {"age_days": 2925, "days_push": 205, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2179, forks 271 (observed 2026-08-28T04:06:23.102015+00:00)

## What it is
A curated awesome-list of image inpainting and video inpainting research papers, organized by year and venue, with links to code and project pages. It includes scripts to generate the README from a CSV collection and accepts community pull requests.

## Use cases
- find recent image inpainting papers
- research video inpainting methods
- find open-source implementations of inpainting models
- survey diffusion-based inpainting techniques
- keep up with face completion research
- find papers for a computer vision literature review

## When to choose
- you need a survey of inpainting research with code links
- you want to track new inpainting papers by venue and year
- you're looking for open-source inpainting models to build on

## When to avoid
- you need a runnable inpainting tool or library rather than a paper list
- you need guaranteed maintenance or a license for the repo itself

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, image-processing, video-processing, machine-learning
- domain: computer-vision, image-processing, machine-learning, awesome-lists
- platform: cross-platform
- tags: awesome-list, image-inpainting, video-inpainting, face-completion, paper-list, diffusion-models, curated-resources, video

## Member repositories
- zengyh1900/Awesome-Image-Inpainting (main) score 62

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:23.102015+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:48:47.311917+00:00, confidence not recorded.
  - readme: https://github.com/zengyh1900/Awesome-Image-Inpainting (fetched 2026-08-28T04:06:23.102015+00:00, sha cba11171e69d)
- Data as of 2026-08-30T08:39:29.467469+00:00.