Residual Non-local Attention Networks for Image Restoration

ICLR 2019 Yulun ZhangKunpeng LiKai LiBineng ZhongYun Fu

In this paper, we propose a residual non-local attention network for high-quality image restoration. Without considering the uneven distribution of information in the corrupted images, previous methods are restricted by local convolutional operation and equal treatment of spatial- and channel-wise features... (read more)

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