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

SwinIR: Image Restoration Using Swin Transformer (official repository)

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

PyTorch implementation of Image Super-Resolution Using Deep Convolutional Networks (ECCV 2014)

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

[ECCV] Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration. Advances in Image Manipulation (AIM) workshop ECCV 2022. Try it out! over 3.3M runs https://replicate.com/mv-lab/swin2sr

PyTorch implementation of Accelerating the Super-Resolution Convolutional Neural Network (ECCV 2016)

Code for Non-Local Recurrent Network for Image Restoration (NeurIPS 2018)

Pytorch implement: Residual Dense Network for Image Super-Resolution

Simultaneous Enhancement and Super-Resolution. #RSS2020

Lightweight Image Super-Resolution with Enhanced CNN (Knowledge-Based Systems,2020)

A Flexible and Unified Image Restoration Framework (PyTorch), including state-of-the-art image restoration model. Such as NAFNet, Restormer, MPRNet, MIMO-UNet, SCUNet, SwinIR, HINet, etc. ⭐⭐⭐⭐⭐⭐

Camera Lens Super-Resolution in CVPR 2019

Official PyTorch code for Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling (HCFlow, ICCV2021)

PyTorch implementation of Residual Dense Network for Image Super-Resolution (CVPR 2018)

Official PyTorch code for Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution (MANet, ICCV2021)

Official PyTorch code for Flow-based Kernel Prior with Application to Blind Super-Resolution (FKP, CVPR2021)

Image super resolution models for PyTorch.

Official code (Tensorflow) for paper "Fast and Efficient Image Quality Enhancement via Desubpixel Convolutional Neural Networks"

PyTorch code for our paper "Attention in Attention Network for Image Super-Resolution"