super_resolution_paper_collection

NTIRE Challenge

NTIRE 2018 Challenge on Single Image Super-Resolution: Methods and Results CVPRW 2018 [paper]

NTIRE 2017 Challenge on Single Image Super-Resolution Dataset and Study CVPRW 2017 [paper]

NTIRE 2017 Challenge on Single Image Super-Resolution Methods and Results CVPRW 2017 [paper]

Review

Deep Learning for Image Super-resolution A Survey 2019 [paper]

A Deep Journey into Super-resolution: A survey 2019 [paper]

Audio

2017

Audio Super Resolution Using Neural Networks [paper]

Image

2023

Activating More Pixels in Image Super-Resolution Transformer CVPR 2023

Better "CMOS" Produces Clearer Images: Learning Space-Variant Blur Estimation for Blind Image Super-Resolution CVPR 2023

Bicubic++ - Slim - Slimmer - Slimmest -- Designing an Industry-Grade Super-Resolution Network CVPR 2023

CABM - Content-Aware Bit Mapping for Single Image Super-Resolution Network with Large Input CVPR 2023

Cascaded Local Implicit Transformer for Arbitrary-Scale Super-Resolution CVPR 2023

CiaoSR - Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution CVPR 2023

Human Guided Ground-truth Generation for Realistic Image Super-resolution CVPR 2023

Image Super-Resolution Using T-Tetromino Pixels CVPR 2023

Learning Generative Structure Prior for Blind Text Image Super-resolution CVPR 2023

Local Implicit Normalizing Flow for Arbitrary-Scale Image Super-Resolution CVPR 2023

N-Gram in Swin Transformers for Efficient Lightweight Image Super-Resolution CVPR 2023

Omni Aggregation Networks for Lightweight Image Super-Resolution CVPR 2023

OPE-SR - Orthogonal Position Encoding for Designing a Parameter-free Upsampling Module in Arbitrary-scale Image Super-Resolution CVPR 2023

OSRT - Omnidirectional Image Super-Resolution with Distortion-aware Transformer CVPR 2023

Perception-Oriented Single Image Super-Resolution using Optimal Objective Estimation CVPR 2023

Rethinking Image Super Resolution from Long-Tailed Distribution Learning Perspective CVPR 2023

2021

ClassSR A General Framework to Accelerate Super-Resolution Networks by Data Characteristic CVPR 2021 [paper]

2020

Attention-based Image Upsampling arXiv 2020 [paper]

Learned Image Downscaling for Upscaling Using Content Adaptive Resampler IEEE TIP 2020 [paper] [arXiv paper]

Single Image Super-Resolution via a Holistic Attention Network ECCV 2020 [paper]

2019

Deeply Supervised Depth Map Super-Resolution as Novel View Synthesis IEEE TCSVT [paper]

2018

(ProSRN) A Fully Progressive Approach to Single-Image Super-Resolution CVPRW 2018 [paper]

(DBPN) Deep Back-Projection Networks for Super-Resolution CVPR 2018 [ppaer]

Face Hallucination Using Cascaded Super-resolution and Identity Priors [paper]

(MS-LapSRN) Fast and Accurate Image Super-Resolution with Deep Laplacian Pyramid Networks IEEE TPAMI 2018 [paper]

Fast and Accurate Single Image Super-Resolution via Information Distillation Network CVPR 2018 [paper]

(RCAN) Image Super-Resolution Using Very Deep Residual Channel Attention Networks ECCV 2018

(DSRN) Image Super-Resolution via Dual-State Recurrent Networks CVPR 2018 [paper]

Multi-scale Residual Network for Image Super-Resolution ECCV 2018 [paper]

(SFT-GAN) Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform 2018 [paper]

Residual Dense Network for Image Super-Resolution CVPR 2018 [paper]

Simultaneous Single- and Multi-contrast Super-resolution for Brain MRI Images Based on a Convolutional Neural Network CBM [paper]

SOD-MTGAN Small Object Detection via Multi-Task Generative Adversarial Network ECCV 2018 [paper]

“Zero-Shot” Super-Resolution Using Deep Internal Learning CVPR 2018 [paper]

2017

Simultaneous Super-Resolution and Cross-Modality Synthesis of 3D Medical Images Using Weakly-Supervised Joint Convolutional Sparse Coding CVPR 2017 [paper]

Fast and Accurate Image Super-Resolution with Deep Laplacian Pyramid Networks [paper]

(LapSRN) Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution CVPR 2017 [paper]

(EDSR;MDSR) Enhanced Deep Residual Networks for Single Image Super-Resolution CVPRW 2017 [paper]

(MemNet) MemNet: A Persistent Memory Network for Image Restoration [paper]

(SRDenseNet) Image Super-Resolution Using Dense Skip Connections ICCV 2017 [paper]

Learning a Single Convolutional Super-Resolution Network for Multiple Degradations 2017 [paper]

Image Super-Resolution Using Dense Skip Connections ICCV 2017 [paper]

(IRCNN) Learning Deep CNN Denoiser Prior for Image Restoration 2017 [paper]

(DRRN) Image Super-Resolution via Deep Recursive Residual Network CVPR 2017 [paper]

(SRResNet;SRGAN) Photo-realistic Single Image Super-resolution Using a Generative Adversarial Network CVPR 2017 [paper]

(EnhanceNet) EnhanceNet Single Image Super-Resolution Through Automated Texture Synthesis 2017 [paper]

Balanced Two-Stage Residual Networks for Image Super-Resolution 2017 [paper]

2016

(FSRCNN) Accelerating the Super-Resolution Convolutional Neural Network ECCV 2016 [paper]

(VDSR) Accurate Image Super-Resolution Using Very Deep Convolutional Networks CVPR 2016 [paper]

End-to-End Image Super-Resolution via Deep and Shallow Convolutional Networks IEEE Access 2019 [arXiv] [paper]

(DRCN) Deeply-recursive Convolutional Network for Image Super-resolution CVPR 2016 [paper]

(SRCNN) Learning a Deep Convolutional Network for Image Super-resolution IEEE TMAPI 2016 [paper]

Perceptual Losses for Real-time Style Transfer and Super-resolution [paper] [code]

(ESPCN) Real-time Single Image and Video Super-resolution Using an Efficient Sub-pixel Convolutional Neural Network CVPR 2016 [paper]

Seven Ways to Improve Example-based Single Image Super Resolution CVPR 2016 [paper]

2015

Single Image Super-Resolution From Transformed Self-Exemplars [paper]

2014

(SRCNN) Learning a Deep Convolutional Network for Image Super-resolution ECCV 2014 [paper]

(SPMSR) A Statistical Prediction Model Based on Sparse Representations for Single Image Super-Resolution 2014 [paper]

Video

Video Enhancer [website]

2023

AMT - All-Pairs Multi-Field Transforms for Efficient Frame Interpolation CVPR 2023 [paper]

Learning Spatial-Temporal Implicit Neural Representations for Event-Guided Video Super-Resolution CVPR 2023

Structured Sparsity Learning for Efficient Video Super-Resolution CVPR 2023

Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting CVPR 2023

2020

Channel Attention Is All You Need for Video Frame Interpolation AAAI 2020 [paper]

2018

Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation CVPR 2018 [paper]

Frame-Recurrent Video Super-Resolution CVPR 2018 [paper]

Learning Temporal Dynamics for Video Super-Resolution: A Deep Learning Approach IEE TIP 2018 [paper]

Video Super-Resolution via Bidirectional Recurrent Convolutional Networks IEEE TPAMI 2018 [paper]

2017

A Framework for Super-Resolution of Scalable Video via Sparse Reconstruction of Residual Frames [paper]

A New Adaptive Video SRR Algorithm With Improved Robustness to Innovations [paper]

A Nuclear-norm Model for Multi-Frame Super-Resolution Reconstruction from Video Clips [paper]

Building an End-to-End Spatial-Temporal Convolutional Network for Video Super-Resolution AAAI 2017 [paper]

Detail-revealing Deep Video Super-resolution ICCV 2017 [paper]

End-to-End Learning of Video Super-Resolution with Motion Compensation [paper]

(VESPCN) Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation CVPR 2017 [paper]

Robust Video Super-Resolution With Learned Temporal Dynamics ICCV 2017 [paper]

2016

Multiframe Motion Coupling via Infimal Convolution Regularization for Video Super Resolution [paper]

Video Super-Resolution With Convolutional Neural Networks [paper]

2015

Bidirectional Recurrent Convolutional Networks for Multi-Frame Super-Resolution NIPS 2015 [paper]

Handling Motion Blur in Multi-Frame Super-Resolution [paper]

Video Super-Resolution via Deep Draft-Ensemble Learning ICCV 2015 [paper]

2011

A Bayesian Approach to Adaptive Video Super Resolution [paper]