UPADNet applies phase-amplitude decomposition with novel LMMSE estimators inside an unrolled iterative algorithm, outperforming prior deblurring networks on GoPro, RealBlur, and COCO.
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Leveraging Phase Information to Boost Unrolled Network Learning for Image Deblurring
UPADNet applies phase-amplitude decomposition with novel LMMSE estimators inside an unrolled iterative algorithm, outperforming prior deblurring networks on GoPro, RealBlur, and COCO.