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TencentARC/GFPGAN

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration. observed · 2026-08-28

github.com/TencentARC/GFPGAN · Python · NOASSERTION (other) observed · 2026-08-28

Health v2 · maintenance only

23/100

  • Activity 0
  • Release rhythm 8
  • Longevity 100

Flags: no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 1993
  • days_rel: n/a
  • days_push: 768
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

37657 stars · 6292 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

GFPGAN is a Python library built on PyTorch that restores and enhances real-world degraded face photos using GAN-based priors. It provides pretrained models and a CLI/inference API for blind face restoration and super-resolution.

Use cases

  • restore old blurry face photos
  • enhance low-quality portrait images
  • upscale faces in photos with super-resolution
  • fix faces in AI-generated images
  • batch enhance family photo archives
  • integrate face restoration into an image pipeline

When to choose

  • you need practical, pretrained blind face restoration without training your own model
  • you want a pip-installable PyTorch library with CPU and GPU support
  • you need to enhance faces in real-world degraded photos

When to avoid

  • you need general image restoration beyond faces
  • you require a permissively licensed dependency (license is non-standard despite Apache badge)
  • you need actively developed cutting-edge models, as development has slowed

Facets

library · maturity maintenance

image-processing machine-learning deep-learning computer-vision image-processing deep-learning artificial-intelligence python cross-platform face-restoration super-resolution gan pytorch image-enhancement

2 sources

Member repositories

RepositoryRoleHealth v2
TencentARC/GFPGANmain23

For agents

markdown · JSON · MCP: product_card(name="TencentARC/GFPGAN")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem