yangxy/GPEN
None 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
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
- readme: https://github.com/yangxy/GPEN · fetched 2026-08-28 · 829f41c25025
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| yangxy/GPEN | main | 64 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem