Image Super-Resolution for Anime-Style Art

Video, Image and GIF upscale/enlarge(Super-Resolution) and Video frame interpolation. Achieved with Waifu2x, Real-ESRGAN, Real-CUGAN, RTX Video Super Resolution VSR, SRMD, RealSR, Anime4K, RIFE, IFRNet, CAIN, DAIN, and ACNet.

Super Resolution for images using deep learning.

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.

a cross-platform image super-resolution tool

SwinIR: Image Restoration Using Swin Transformer (official repository)

Image super-resolution through deep learning

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

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

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

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

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

A collection of high-impact and state-of-the-art SR methods

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

Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution

CVPR2023 - Activating More Pixels in Image Super-Resolution Transformer TPAMI - HAT: Hybrid Attention Transformer for Image Restoration

PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

Arbitrary-steps Image Super-resolution via Diffusion Inversion (CVPR 2025)

Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (ICCV, 2021) (PyTorch) - We released the training code!

ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting (NeurIPS@2023 Spotlight, TPAMI@2024)

A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

Official implementation of HYPIR: Harnessing Diffusion-Yielded Score Priors for Image Restoration (SIGGRAPH 2025)

PyTorch Implementation of "Lossless Image Compression through Super-Resolution"

HiPixel is a native macOS application for AI-powered image super-resolution, built with SwiftUI and leveraging Upscayl's powerful AI models.

[ECCV2024] Pixel-Aware Stable Diffusion for Realistic Image Super-Resolution and Personalized Stylization

Deep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)

Tensorflow implementation of the SRGAN algorithm for single image super-resolution

Implementation of Super Resolution CNN in Keras.

Official Code for “Pixel to Gaussian: Ultra-Fast Continuous Super-Resolution with 2D Gaussian Modeling” ICLR 2026

[CVPR'20] TTSR: Learning Texture Transformer Network for Image Super-Resolution