Most updated and comprehensive collections of papers and codings for image super resolution
Collections of Papers and Codings for Image Super resolution
Deep Learning based super-resolution is a fast-growing filed with numerours practical applications as well as various of models and papers. This is a list of such papers and codings (Lasted update Jan 2020 )
Super-resolution aims to convert a given low-resolution image with coarse details to a corresponding high-resolution image with better visual quality as well as refined details.
SRCNN Image super-resolution using deep convolutional networks Jul 2015 PDF Tensorflow Nodejs Caffe Keras
FSRCNN Accelerating the super-resolution convolutional neural network Aug 2016 PDF Torch Tensorflow Keras
VDSR Accurate image super- resolution using very deep convolutional networks Nov 2016 PDF Tensorflow Torch
DnCNN Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising Aug 2016 PDF PyTorch Tensorflow Keras
IRCNN Learning deep cnn denoiser prior for image restoration Apr 2017 PDF Tensorflow
EDSR Enhanced deep residual networks for single image super-resolution Jul 2017 PDF PyTorch Tensorflow
CARN Fast, accurate, and, lightweight super-resolution with cascading residual network Oct 2018 PDF
FormResNet Formresnet: formatted residual learning for image restoration 2017 PDF Tensorflow
BTSRN Balanced two-stage residual networks for image super-resolution 2017 PDF
REDNet Image restoration using very deep convolutional encoder-decoder networks with symmetric skip connections Sep 2016 PDF PyTorch
EBRN Embedded Block Residual Network: A Recursive Restoration Model for Single-Image Super-Resolution PDF
BNANResidule Non-Local Attention Networks for Image restoration 2019 PDF PyTorch
DRCN Deeply-recursive convolutional network for image super-resolution Nov 2016 PDF Tensorflow
DRRN Image super-resolution via deep recursive residual network 2017 PDF Caffe PyTorch
MemNet Memnet: A persistent memory network for image restoration Aug 2017 PDF Caffe
SCN Deep networks for image super-resolution with sparse prior Oct 2015 PDF
LapSRN Deep lapla- cian pyramid networks for fast and accurate superresolution Oct 2017 PDF PyTorch Tensorflow
SR-DenseNet Image super-resolution using dense skip connections 2017 PDF PyTorch Tensorflow
RDN Residual dense network for image super-resolution Mar 2018 PDF Torch PyTorch Tensorflow
DBPN Deep back-projection networks for super-resolution Mar 2018 PDF PyTorch Caffe Keras Tensorflow
CNF Image super resolution based on fusing multiple convolution neural networks Jul 2017 PDF
CMSC Single image super- resolution via cascaded multi-scale cross network Feb 2018 PDF
IDN Fast and accurate single image super-resolution via information distillation network Mar 2018 PDF Caffe
SelNet A deep convolutional neural network with selection units for super-resolution 2017 PDF
RCAN image super-resolution using very deep residual channel attention networks Jul 2018 PDF PyTorch
DRLN Densely residual laplacian super-resolution Jul 2019 PDF PyTorch
SAN Second-order Attention Network for Single Image Super-Resolution 2019 PDF PyTorch
MAANet MAANet: Multi-view Aware Attention Networks for Image Super-Resolution Apr 2019 PDF
MCAN A Matrix-in-matrix Neural Network for Image Super Resolution May 2019 PDF PyTorch
ZSSR Ram: Residual attention module for single image super-resolution Nov 2018 PDF Tensorflow
SRMD Zero-shot super-resolution using deep internal learning Dec 2017 PDF PyTorch
SRGAN Photorealistic single image super-resolution using a generative adversarial network May 2017 PDF Torch
EnhanceNet Unsupervised representation learning with deep convolutional generative adversarial networks Jan 2016 PDF Theano
ESRGAN Esrgan: Enhanced super-resolution generative adversarial networks Sep 2019 PDF PyTorch
SRFeat Srfeat: Single image super-resolution with feature discrimination 2018 PDF tensorflow
RankSRGAN RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution Aug 2019 PDF PyTorch
OISR ODE-inspired Network Design for Single Image Super-Resolution 2019 PDF PyTorch
DPSR Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels Mar 2019 PDF PyTorch
TENet Trinity of Pixel Enhancement: a Joint Solution for Demosaicking, Denoising and Super-Resolution May 2019 PDF PyTorch
SRNTT Image Super-Resolution by Neural Texture Transfer May 2019 PDF Tensorflow
MixUp Suppressing Model Overfitting for Image Super-Resolution Networks Jun 2019 PDF
FC2N FC2N: Fully Channel-Concatenated Network for Single Image Super-Resolution Jul 2019 PDF
GMFN Gated Multiple Feedback Network for Image Super-Resolution Jul 2019 PDF PyTorch
PPON Progressive Perception-Oriented Network for Single Image Super-Resolution Jul 2019 PDF PyTorch
Edge-Informed Edge-Informed Single Image Super-Resolution Sep 2019 PDF PyTorch
IMDN Lightweight Image Super-Resolution with Information Multi-distillation Network Sep 2019 PDF PyTorch
KMSR Kernel Modeling Super-Resolution on Real Low-Resolution Images 2019 PDF PyTorch
CFSNet CFSNet: Toward a Controllable Feature Space for Image Restoration 2019 PDF PyTorch
SSRVAE Style-based Variational Autoencoder for Real-World Super-Resolution Dec 2019 PDF
ADCSR Adaptive Densely Connected Single Image Super-Resolution Dec 2019 PDF
Explorable Super Resolution Dec 2019 PDF
Deep Learning for Image Super-resolution: A Survey Feb 2019 PDF
A Deep Journey into Super-resolution: A survey Apr 2019 PDF
DataSets
SET5 Download
SET14 Download
SunHay80 Download
Urban100 Download
BSD100 Download
BSD300 Download
BSD500 Download
91-Image Download
ImageNet Download
Kaggle Download
NOTE
If I missed your paper in this review, please email me or just pull a request here.