2026
Probabilistic Discrepancy Learning for Roadside LiDAR Scene Completion
CVPR 2026
We propose a probabilistic discrepancy learning approach for roadside LiDAR scene completion (PDL). Conventional methods focus on object-level completion and scene completion from ego-vehicle viewpoint. These methods struggle to cope with long-term or severe occlusions caused by roadside sensors wit