SwinIR: Image Restoration Using Swin Transformer (official repository)

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

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

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

[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 Image Super-Resolution Using Deep Convolutional Networks (ECCV 2014)

ACG2vec (Anime Comics Games to vector) are committed to creating a playground that combines ACG and Deep learning.（文本语义检索、以图搜图、语义搜图、图片超分辨率、推荐系统）

A Repository for Diffusion-Model-related Papers in Low-level Vision

TensorFlow JS models for MIRNet for low-light💡 image enhancement

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. ⭐⭐⭐⭐⭐⭐

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

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

A Collection of Low Level Vision Research Groups

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

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

Image super resolution models for PyTorch.

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

Camera Lens Super-Resolution in CVPR 2019

CVPR NTIRE 2023 Challenge on Real-Time Super-Resolution

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

Simultaneous Enhancement and Super-Resolution. #RSS2020

Pytorch implement: Residual Dense Network for Image Super-Resolution

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

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

Latest development of ISR/VSR. Papers and related resources, mainly state-of-the-art and novel works in ICCV, ECCV and CVPR about image super-resolution and video super-resolution.

[ECCV 2022 & T-PAMI 2024] Multiple Look-Up Tables for Efficient Image Restoration

[CVPR 2024] CFAT: Unleashing Triangular Windows for Image Super-resolution

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

The official repository of BFSR: "Boosting Flow-based Generative Super-Resolution Models via Learned Prior" [CVPR 2024]