2020
From Depth What Can You See? Depth Completion via Auxiliary Image Reconstruction
CVPR 2020poster
Depth completion recovers dense depth from sparse measurements, e.g., LiDAR. Existing depth-only methods use sparse depth as the only input. However, these methods may fail to recover semantics consistent boundaries, or small/thin objects due to 1) the sparse nature of depth points and 2) the lack o…