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Seo-Won Ji

2 accepted papers

2022

XYDeblur: Divide and Conquer for Single Image Deblurring

CVPR 2022poster

Many convolutional neural networks (CNNs) for single image deblurring employ a U-Net structure to estimate latent sharp images. Having long been proven to be effective in image restoration tasks, a single lane of encoder-decoder architecture overlooks the characteristic of deblurring, where a blurry…

Cited by 58PDFcodeScholar
2021

Rethinking Coarse-To-Fine Approach in Single Image Deblurring

ICCV 2021poster

Coarse-to-fine strategies have been extensively used for the architecture design of single image deblurring networks. Conventional methods typically stack sub-networks with multi-scale input images and gradually improve sharpness of images from the bottom sub-network to the top sub-network, yielding…

Cited by 770PDFcodeScholar