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Oct, 2020
使用像素注意力实现高效图像超分辨率
Efficient Image Super-Resolution Using Pixel Attention
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Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong
TL;DR
本研究旨在设计一种轻量级卷积神经网络,用于图像超分辨率,提出了一种像素关注机制用于构建简洁且有效的网络,并分别提出了基于像素关注的主干和重建分支的构建块。该模型具有较好效果且参数量只有SRResNet和CARN的17.92%和17.09%。
Abstract
This work aims at designing a lightweight
convolutional neural network
for
image super resolution
(SR). With simplicity bare in mind, we construct a pretty concise and effective network with a newly proposed
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