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Information × Registration Number 2120U007841, Article popup.category Препринт Title HRGAN: High-Resolution Representation Learning for Image Deblurring (AI translated) popup.author Borsuk VasylBorsuk Vasyl popup.publication 01-01-2020 popup.source_user Український католицький університет popup.source https://hdl.handle.net/20.500.14570/4496 popup.publisher Description Existing state-of-the-art single-image motion deblurring frameworks first encode the input image as a semantically rich low-resolution representation and then recover the high-resolution image from this representation. The network which generates an image from low-resolution features is not the right choice for pixel-level predic- tions as it fails to recover finer texture details. We introduce the idea of the High- Resolution Network (HRNet) to image deblurring. It maintains high-resolution rep- resentation through the whole process instead of recovering high resolution from low resolution. Additionally, we propose to use the CutMix augmentation strategy to enhance the performance of our network. popup.nrat_date 2025-11-05 Close