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ZVeC: A Zero-Shot Framework for Instance-Level Vehicle Extraction and Generative Point Cloud Completion

Paper recorded by Signals 4 on 2026-09-21 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-21 on arXiv · recorded by Signals 4 on 2026-09-22

Category: cs.CV · 计算机视觉 · first seen 2026-09-22

Abstract

LiDAR point clouds acquired in underground environments exhibit severe geometric incompleteness due to occlusions and limited sensor viewpoints, making reliable point cloud completion challenging without large supervised datasets. We propose ZVeC, a zero-shot, instance-driven framework that reformulates scene-level completion as compositional object-level reconstruction. By decomposing a scene int

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#10 most recent of 270 cs.CV papers we have recorded · ↑ newer: When Wider Views Fail: Stress-Testing Feed-Forward 3D Reconstruction · ↓ older: When is a closed-form RGB->S/P ratio adequate? A hyperspectral charact
Cite this page: ZVeC: A Zero-Shot Framework for Instance-Level Vehicle Extraction and Generative Point Cloud Completion: the #10 most recent of 270 cs.CV papers we have recorded (as of 2026-09-21). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/zvec-a-zero-shot-framework-for-instance-level-vehicle-extraction-and-generative-.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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