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*
sczhou / codeformer
Robust face restoration algorithm for old photos / AI-generated faces
jingyunliang / swinir
Image Restoration Using Swin Transformer
megvii-research / nafnet
Nonlinear Activation Free Network for Image Restoration
microsoft / bringing-old-photos-back-to-life
Bringing Old Photos Back to Life
cjwbw / bigcolor
Colorization using a Generative Color Prior for Natural Images
google-research / maxim
Multi-Axis MLP for Image Processing
arielreplicate / deoldify_image
Add colours to old images
tencentarc / vqfr
Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decoder
yangxy / gpen
Blind Face Restoration in the Wild
cjwbw / supir
Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild. This version uses LLaVA-13b for captioning.
cjwbw / vqfr
Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decoder
piddnad / ddcolor
Towards Photo-Realistic Image Colorization via Dual Decoders
codeslake / ifan-defocus-deblur
Removes defocus blur in an image
cjwbw / night-enhancement
Unsupervised Night Image Enhancement
batouresearch / magic-style-transfer
Restyle an image with the style of another one. I strongly suggest to upscale the results with Clarity AI
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.
mv-lab / instructir
High-Quality Image Restoration Following Human Instructions
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.
codeplugtech / object_remover