Popular GitHub Repositories for Super Resolution

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

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

[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer

Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.

SUPIR aims at developing Practical Algorithms for Photo-Realistic Image Restoration In the Wild. Our new online demo is also released at suppixel.ai.

? Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

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

[IJCV2024] Exploiting Diffusion Prior for Real-World Image Super-Resolution

Awesome GAN for Medical Imaging

AI magics meet Infinite draw board.

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

A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.

AI无损放大工具

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

Sharpen your low-resolution pictures with the power of AI upscaling

VRT: A Video Restoration Transformer (official repository)

Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)

StableSR for Stable Diffusion WebUI - Ultra High-quality Image Upscaler