Ross ROSS = Recommend OSS · open-source software intelligence for agents

yangxy/GPEN

None observed · 2026-08-28

github.com/yangxy/GPEN · Jupyter Notebook observed · 2026-08-28

Health v2 · maintenance only

64/100

  • Activity 71
  • Release rhythm 35
  • Longevity 100

Flags: no_releases no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 1974
  • days_rel: n/a
  • days_push: 176
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

2612 stars · 452 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

GPEN (GAN Prior Embedded Network) is a deep learning library for blind face restoration of low-quality, in-the-wild photos. It also supports face colorization, face inpainting, super-resolution, and segmentation-to-face synthesis.

Use cases

  • restore blurry old photos of faces
  • enhance low-resolution selfies
  • colorize black and white portraits
  • inpaint missing regions in face images
  • upscale face images 4x
  • generate faces from segmentation maps

When to choose

  • you need state-of-the-art blind face restoration on real-world degraded photos
  • you want high-resolution face enhancement up to 1024/2048
  • you need face colorization or inpainting alongside restoration

When to avoid

  • you need general non-face image restoration
  • you require a permissive license for commercial use (no license is specified)
  • you lack a GPU and want fast CPU inference

Facets

library · maturity maintenance

image-processing machine-learning deep-learning computer-vision image-processing deep-learning artificial-intelligence python cross-platform face-restoration gan blind-face-restoration face-inpainting face-colorization image-enhancement super-resolution cvpr2021 gpu

1 source

Member repositories

RepositoryRoleHealth v2
yangxy/GPENmain64

For agents

markdown · JSON · MCP: product_card(name="yangxy/GPEN")

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