AI RESEARCH
Exploring Easy Boosts for Lidar Semantic Scene Completion
arXiv CS.CV
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ArXi:2606.03992v1 Announce Type: new This paper investigates "free lunch" strategies to boost the performance of lidar semantic scene completion (SSC) without requiring complex architectural redesigns. We first nstrate that endowing input point clouds with semantic pseudo-labels from off-the-shelf segmentors significantly improves the performance of existing architectures. By evaluating these models against an oracle, we establish that high-quality semantic priors are a primary driver of mIoU gains.