Image Super-Resolution for Anime-Style Art

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

Awesome GAN for Medical Imaging

Benchmark and resources for single super-resolution algorithms

A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

Tensorflow implementation of the SRGAN algorithm for single image super-resolution

Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)

A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Super-Resolution (SISR) model.

Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"

Code of our winning entry to NTIRE super-resolution challenge, CVPR 2018

A Python implementation of RAISR

Tensorflow 2.0 based implementation of EDSR, WDSR and SRGAN for single image super-resolution

Trainable models and NN optimization tools

Image Super-Resolution Using Deep Convolutional Networks in Tensorflow https://arxiv.org/abs/1501.00092v3

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

Tensorflow implementation of pixel-recursive-super-resolution(Google Brain paper: https://arxiv.org/abs/1702.00783)

The project is an official implement of our CVPR2018 paper "Deep Back-Projection Networks for Super-Resolution" (Winner of NTIRE2018 and PIRM2018)

Torch code for our CVPR 2018 paper "Residual Dense Network for Image Super-Resolution" (Spotlight)

Tensorflow implementation of Enhanced Deep Residual Networks for Single Image Super-Resolution

A Caffe-based implementation of very deep convolution network for image super-resolution

Learning a Single Convolutional Super-Resolution Network for Multiple Degradations (CVPR, 2018)

A modern PyTorch implementation of SRGAN

VDSR (CVPR2016) pytorch implementation

TOFlow: Video Enhancement with Task-Oriented Flow

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

All image quality metrics you need in one package.

Pytorch implementation for LapSRN (CVPR2017)