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SSC-Priors: Exploring Semantic and Visibility Priors to Boost Lidar Semantic Scene Completion

Paper recorded by Signals 4 on 2026-09-15 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-15 on arXiv · recorded by Signals 4 on 2026-09-16

Category: cs.CV · 计算机视觉 · first seen 2026-09-16

Abstract

This paper investigates easy strategies to boost the performance of existing networks for lidar semantic scene completion (SSC) without requiring complex architectural redesigns. The fact is that, over the last years, SSC methods have mostly pursued architectural innovations, making the models heavier and more complex, e.g., by jointly training a point cloud semantic segmentation branch. In this w

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#33 most recent of 237 cs.CV papers we have recorded · ↑ newer: SlotDiT: Object-Centric Representations for Diffusion Transformers · ↓ older: PanoGS-SLAM: Panoramic 3D Gaussian Splatting SLAM
Cite this page: SSC-Priors: Exploring Semantic and Visibility Priors to Boost Lidar Semantic Scene Completion: the #33 most recent of 237 cs.CV papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/ssc-priors-exploring-semantic-and-visibility-priors-to-boost-lidar-semantic-scen.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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