A PyTorch implementation of ESPCN based on CVPR 2016 paper "Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network"

An official implementation of "Learning with Privileged Information for Efficient Image Super-Resolution" (ECCV2020) in PyTorch.

A PyTorch implementation of ESPCN based on CVPR 2016 paper Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network.

PyTorch implementation of Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network (CVPR 2016)

[NeurIPS'21 Spotlight] Aligned Structured Sparsity Learning for Efficient Image Super-Resolution (PyTorch)

[ICLR'22] PyTorch code for our paper "Learning Efficient Image Super-Resolution Networks via Structure-Regularized Pruning"

[ICCV2023 Official PyTorch code] for Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution

A Pytorch implement of the paper 2018 NTIRE No.1 paper 《Wide Activation for Efficient and Accurate Image Super-Resolution》

PyTorch implementation of efficient image super-resolution models, e.g. SRCNN, ESPCN, FSRCNN, DRCN, VDSR, DRRN, EDSR, LapSRN, IDN, CARN etc.

PyTorch implementation of Wide Activation for Efficient and Accurate Image Super-Resolution (CVPR Workshop 2018)

A Pytorch implementation of "An Efficient Unfolding Network with Disentangled Spatial-Spectral Representation for Hyperspectral Image Super-Resolution"

PyTorch code for 'Efficient Single Image Super-Resolution Using Dual Path Connections with Multiple Scale Learning'

This repository is an official PyTorch implementation of the paper "Lightweight Feature De-Redundancy and Self-Calibration Network for Efficient Image Super-Resolution". (ACM TOMM 2022)

Official PyTorch implement for NAFRSSR: a Lightweight Recursive Network for Efficient Stereo Image Super-Resolution

This repository contains the official PyTorch implementation for the paper "Efficient Arbitrary-Scale Image Super-Resolution via Functional Tensor Decomposition" in IEEE Transactions on Multimedia.

Pytorch implementation of the paper "Efficient single image super resolution using Learned Group Convolutions"

Official PyTorch code for the paper "Towards Faster and Efficient Lightweight Image Super Resolution using Swin Transformers and Fourier Convolutions".

Official PyTorch code for the paper "Towards Faster and Efficient Lightweight Image Super Resolution using Swin Transformers and Fourier Convolutions".

PyTorch implementation of "CVIformer: Cross-View Interactive Transformer for Efficient Stereoscopic Image Super-Resolution"

The Pytorch implementation of our SPSR method for efficient image super-resolution in AIM2020 Challenge

Pytorch Lightning implementation of Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network

This project implements the super resolution task as described in the paper "Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network" using PyTorch.

This repository is a PyTorch version of the paper "A Hierarchical Dense Residual Network with Efficient Second-Order Channel Attention for Single Image Super-Resolution"