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Sep, 2023
MetaF2N:基于学习高效模型自适应的盲目人脸图像超分辨率
MetaF2N: Blind Image Super-Resolution by Learning Efficient Model Adaptation from Faces
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Zhicun Yin, Ming Liu, Xiaoming Li, Hui Yang, Longan Xiao...
TL;DR
通过 MetaF2N 方法,利用包含的人脸来微调超分辨率模型参数以适应整个自然图像,在去除降级表征和低质量图像合成步骤的同时,只需一次微调步骤即可获得良好的性能。
Abstract
Due to their highly structured characteristics, faces are easier to recover than natural scenes for
blind image super-resolution
. Therefore, we can extract the
degradation representation
of an image from the low-
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