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Nov, 2015
深度递归卷积神经网络图像超分辨率
Deeply-Recursive Convolutional Network for Image Super-Resolution
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Jiwon Kim, Jung Kwon Lee, Kyoung Mu Lee
TL;DR
使用深度递归卷积神经网络的图像超分辨率方法，在递归深度增加时，不需要引入新的卷积参数，通过递归监督和跳过连接来缓解训练的困难，并在性能上显著优于之前的方法。
Abstract
We propose an
image super-resolution
method (SR) using a
deeply-recursive convolutional network
(DRCN). Our network has a very deep recursive layer (up to 16 recursions). Increasing recursion depth can improve pe
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