Not All Points Are Equal: Uncertainty-Aware 4D LiDAR Scene Synthesis 事件

Not All Points Are Equal: Uncertainty-Aware 4D LiDAR Scene Synthesis arXiv:2606.02510v1 Announce Type: new Abstract: Constructing faithful 4D worlds from LiDAR-acquired sequences is crucial for embodied AI, yet current generative frameworks apply uniform modeling capacity across all spatial regions. This ignores that perceptual difficulty varies dramatically within a single scan: distant surfaces, occluded boundaries, and small-scale objects carry far higher uncertainty than well-observed struc