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Nov, 2022
基于 GAN 先验的零空间学习用于一致性超分辨率
GAN Prior based Null-Space Learning for Consistent Super-Resolution
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Yinhuai Wang, Yujie Hu, Jiwen Yu, Jian Zhang
TL;DR
通过学习零空间部分和固定范围空间,使用基于池化的分解方法(PD)来消除现有风格迁移SR方法中颜色、局部结构的一致性问题,并在面对未知下采样和现实世界退化时取得更好的泛化性能。
Abstract
Consistency and realness have always been the two critical issues of
image super-resolution
. While the realness has been dramatically improved with the use of
gan prior
, the state-of-the-art methods still suffer
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