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

复现SRGAN存档，CVPR2017的工作

最简单的基于SRGAN网络的实现， 附带已训练好的模型及GIF生成代码， 更适合作为Demo展示

里面包含许多GAN算法的Keras源码，可以用于训练自己的模型。

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.

Image Super-Resolution Using SRCNN, DRRN, SRGAN, CGAN in Pytorch