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Longan Xiao

1 accepted papers

2023

MetaF2N: Blind Image Super-Resolution by Learning Efficient Model Adaptation from Faces

ICCV 2023poster

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-quality and recovered face pairs. Using the degradation representation, realistic low-qu…

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