Depth Completion

Predicting a dense, complete depth map from sparse depth measurements (LiDAR) and optionally an RGB image. LiDAR provides accurate but sparse depth; depth completion fills in missing values. Deep learning methods (CSPN, GuideNet) use image structure to hallucinate geometrically plausible depth at image resolution. Used in autonomous vehicles and RGB-D robot perception.