DiffBIR

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

Bringing Old Photo Back to Life (CVPR 2020 oral)

Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR

The state-of-the-art image restoration model without nonlinear activation functions.

[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.

Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks

Unofficial implementation of Palette: Image-to-Image Diffusion Models by Pytorch

NCNN implementation of Real-ESRGAN. Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.

This is a resouce list for low light image enhancement