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cs.CV2023
Revisiting Deformable Convolution for Depth Completion
Xinglong Sun, Jean Ponce, Yu-Xiong Wang
Depth completion, which aims to generate high-quality dense depth maps from sparse depth maps, has attracted increasing attention in recent years. Previous work usually employs RGB…
cs.CV2020
Select Good Regions for Deblurring based on Convolutional Neural Networks
Hang Yang, Xiaotian Wu, Xinglong Sun
The goal of blind image deblurring is to recover sharp image from one input blurred image with an unknown blur kernel. Most of image deblurring approaches focus on developing image…