AI RESEARCH

VOIC: Visible-Occluded Integrated Guidance for 3D Semantic Scene Completion

arXiv CS.CV

ArXi:2512.18954v2 Announce Type: replace Camera-based 3D Semantic Scene Completion (SSC) is a critical task for autonomous driving and robotic scene understanding. It aims to infer a complete 3D volumetric representation of both semantics and geometry from a single image. Existing methods typically focus on end-to-end 2D-to-3D feature lifting and voxel completion. However, they often overlook the interference between high-confidence visible-region perception and low-confidence occluded-region reasoning caused by single-image input, which can lead to feature dilution and error propagation.