BriefGPT.xyz
May, 2018
实例归一化的有效性：用于单幅图像去雾的强基准线
The Effectiveness of Instance Normalization: a Strong Baseline for Single Image Dehazing
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Zheng Xu, Xitong Yang, Xue Li, Xiaoshuai Sun
TL;DR
该文介绍了一种新的深度学习算法，用于从模糊的图片中恢复出清晰的图片，该算法采用了编码器-解码器架构和实例归一化，通过采用预训练的VGG网络中的卷积层来提取特征，可显著提高图像的清晰度。
Abstract
We propose a novel
deep neural network
architecture for the challenging problem of
single image dehazing
, which aims to recover the clear image from a degraded hazy image. Instead of relying on hand-crafted image
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