XPixelGroup/DiffBIR
Some data may be outdated — see provenance labels.
[ECCV 2024] codes of DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior observed · 2026-10-04
Health v2 · maintenance only
31/100
- Activity 26
- Release rhythm 8
- Longevity 82
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-22. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1150
- days_rel: 693
- days_push: 449
- n_releases_24m: 1
Adoption not part of the score
4125 stars · 365 forks observed · 2026-10-04
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
DiffBIR is a blind image restoration framework that uses generative diffusion priors to restore degraded real-world images. It provides pretrained models and a unified pipeline for tasks like super-resolution, deblurring, and face restoration.
Use cases
- restore old blurry photos
- upscale low-resolution images
- fix degraded real-world images
- enhance faces in low-quality photos
- remove compression artifacts from images
- research on diffusion-based image restoration
When to choose
- you need state-of-the-art blind image restoration with generative detail
- you want pretrained models for super-resolution or deblurring
- you are researching diffusion priors for restoration
When to avoid
- you need fast inference, since diffusion sampling is slow (consider HYPIR)
- you only need simple classical denoising without generative detail
- you cannot run GPU inference
Facets
library · maturity maintenance
image-processing machine-learning deep-learning image-processing computer-vision artificial-intelligence python cross-platform image-restoration image-enhancement diffusion-models blind-restoration super-resolution eccv-2024 gpu
1 source
- readme: https://github.com/XPixelGroup/DiffBIR · fetched 2026-10-04 · 23c7ebc7f422
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| XPixelGroup/DiffBIR | main | 31 |
For agents
markdown · JSON · MCP: product_card(name="XPixelGroup/DiffBIR")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem