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

A synthetic data generator for text recognition

100-Days-Of-ML-Code中文版

patch selection 1st

Deep Learning for humans

Tf implementation of Semi-supervised GAN

An unofficial and partial Keras implementation of "Noise2Noise: Learning Image Restoration without Clean Data"

starter from "How to Train a GAN?" at NIPS2016

Apply Waseerstein GAN into SRGAN, a deep learning super resolution model

The implementation of Relativistic average GAN with Keras

Implementation of recent Deep Learning papers

Keras implementations of Generative Adversarial Networks.

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

subpixel: A subpixel convnet for super resolution with Tensorflow

EDSR Super Resolution in Keras

An Keras implementation of Multi-Scale Laplacian Super Resolution Network

SRNet 的 Keras 实现

CBAM implementation on Keras

Gated Fusion Network for Joint Image Deblurring and Super-Resolution(BMVC 2018 Oral)

Image super-resolution through deep learning

Keras / TF subpixel convolution

SRDenseNet-pytorch（ICCV_2017）

An implementation of SRGAN model in Keras

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

Pytorch implementation for LapSRN (CVPR2017)

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

Workshop and Challenge on Perceptual Image Restoration and Manipulation

A collection of state-of-the-art face super-resolution/hallucination methods

A collection of high-impact and state-of-the-art SR methods