google-research/maxim
[CVPR 2022 Oral] Official repository for "MAXIM: Multi-Axis MLP for Image Processing". SOTA for denoising, deblurring, deraining, dehazing, and enhancement. observed · 2026-08-28
Health v2 · maintenance only
10/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases archived
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: 1632
- days_rel: n/a
- days_push: 1181
- n_releases_24m: 0
Adoption not part of the score
1085 stars · 116 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Official implementation of MAXIM, a multi-axis MLP architecture for low-level image processing tasks, presented as a CVPR 2022 oral paper. It provides pretrained models and training code achieving state-of-the-art results on denoising, deblurring, deraining, dehazing, and image enhancement benchmarks.
Use cases
- remove noise from photos with a deep learning model
- deblur blurry images
- remove rain streaks from images
- dehaze foggy photos
- enhance low-light images
- retouch photos automatically
- research a UNet-style MLP vision backbone
When to avoid
- you need a production image editing app with a UI
- you want actively maintained code with frequent updates
- your task is high-level vision like classification or detection
Facets
library · maturity maintenance
image-processing machine-learning deep-learning computer-vision image-processing deep-learning python image-restoration denoising deblurring deraining dehazing low-light-enhancement mlp-architecture cvpr-2022 research-code gpu
6 sources
- readme: https://github.com/google-research/maxim · fetched 2026-08-28 · b26cbdb9a8e5
- homepage: https://arxiv.org/abs/2201.02973 · fetched 2026-08-29 · b44601909bcc
- site_page: https://info.arxiv.org/about/donate.html · fetched 2026-08-29 · cca9c3a11c56
- site_page: https://info.arxiv.org/about/ourmembers.html · fetched 2026-08-29 · 47cbc55ff1de
- site_page: https://info.arxiv.org/about · fetched 2026-08-29 · a1f16f915a9a
- site_page: https://info.arxiv.org/labs/index.html · fetched 2026-08-29 · b14a8d05a0ec
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| google-research/maxim | main | 10 |
For agents
markdown · JSON · MCP: product_card(name="google-research/maxim")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem