Revisiting Deformable Convolution for Depth Completion
Xinglong Sun,Jean Ponce,Yu-Xiong Wang,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 images as guidance, and introduces iterative spatial propagation to refine estimated coarse depth maps. However, most of the propagation refinement methods require several iterations and suffer from a fixed receptive fi...
