VDSR--Accurate Image Super-Resolution Using Very Deep Convolutional Networks

论文及MATLAB代码：(https://cv.snu.ac.kr/research/VDSR/)

Abstract
受VGG网络启发，使用非常深的网络

Introduction
SRCNN的三个限制
first, it relies on the context of small image regions;
second, training converges too slowly;
third, the network only works for a single scale.

解决办法
1、 use large receptive field takes a large image context
into account.
2、 residual-learning CNN and extremely high learning rates.

3、We propose a single-model SR approach.
Scales are typically user-specified and can be arbitrary including fractions.
放大倍数不在是唯一的。