Collections

Restore images

These models restore and improve images by fixing defects like blur, noise, and low resolution. Key capabilities:

  • Deblurring - Sharpen blurry images by reversing blur effects. Useful for old photos.
  • Denoising - Remove grain and artifacts by learning noise patterns.
  • Colorization - Add realistic color to black and white photos.
  • Face restoration - Improve the image quality of faces in old photos, or unrealistic AI generated faces.

Our Picks

Best restoration model: google-research/maxim

If you need to sharpen a blurry photo, or remove noise or compression artifacts, start with google-research/maxim. It has a total of 11 image restoration models baked-in that let you deblur, denoise, remove raindrops, and more. If you’re not getting the results you’re looking for, try megvii-research/nafnet which is similar but supports fewer restoration features.

Best colorization model: piddnad/ddcolor

The best model for adding color to black and white photos is piddnad/ddcolor, which was released in 2023. If you are looking for more saturated results try out arielreplicate/deoldify_image.

Best face restoration model: sczhou/codeformer

If you’re looking for a face restoration model, try starting with sczhou/codeformer. It produces more realistic faces than alternatives like tencentarc/gfpgan. If you aren’t getting the exact image improvements you want, we recommend exploring more modern upscaling models like batouresearch/magic-image-refiner.

Recommended models

tencentarc/gfpgan

Practical face restoration algorithm for *old photos* or *AI-generated faces*

76M runs

sczhou/codeformer

Robust face restoration algorithm for old photos / AI-generated faces

33.4M runs

jingyunliang/swinir

Image Restoration Using Swin Transformer

5.7M runs

megvii-research/nafnet

Nonlinear Activation Free Network for Image Restoration

1.3M runs

microsoft/bringing-old-photos-back-to-life

Bringing Old Photos Back to Life

870.3K runs

cjwbw/bigcolor

Colorization using a Generative Color Prior for Natural Images

452.4K runs

google-research/maxim

Multi-Axis MLP for Image Processing

425.8K runs

arielreplicate/deoldify_​image

Add colours to old images

389K runs

tencentarc/vqfr

Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decoder

164.5K runs

yangxy/gpen

Blind Face Restoration in the Wild

157.2K runs

cjwbw/vqfr

Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decoder

137.7K runs

codeslake/ifan-defocus-deblur

Removes defocus blur in an image

113.5K runs

cjwbw/supir

Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild. This version uses LLaVA-13b for captioning.

101.4K runs

piddnad/ddcolor

Towards Photo-Realistic Image Colorization via Dual Decoders

84.6K runs

cjwbw/night-enhancement

Unsupervised Night Image Enhancement

40.3K runs

mv-lab/instructir

High-Quality Image Restoration Following Human Instructions

7.1K runs

cjwbw/supir-v0f

Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild. This is the SUPIR-v0F model and does NOT use LLaVA-13b.

7.1K runs

cjwbw/supir-v0q

Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild. This is the SUPIR-v0Q model and does NOT use LLaVA-13b.

5K runs

batouresearch/magic-style-transfer

Restyle an image with the style of another one. I strongly suggest to upscale the results with Clarity AI

3.2K runs

codeplugtech/object_​remover

1.8K runs