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CoGaussian: Open-Vocabulary Gaussian-based Collaborative 3D Scene Understanding

Paper recorded by Signals 4 on 2026-10-20 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-20 on arXiv · recorded by Signals 4 on 2026-10-21

Category: cs.CV · 计算机视觉 · first seen 2026-10-21

Abstract

Collaborative perception enables agents to retrieve the scene semantics and geometry beyond the field of view of any individual agent. This broader scene understanding enhances transportation safety and improves efficiency in multi-robot systems. However, existing collaborative semantic occupancy methods rely on dense 3D voxel annotations and are limited to recognizing objects within a predefined

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#214 most recent of 756 cs.CV papers we have recorded · ↑ newer: Predictive Latents for Autoregressive Language Models: Possibility, Ga · ↓ older: Copyright Leakage Detection in AI Generated Videos
Cite this page: CoGaussian: Open-Vocabulary Gaussian-based Collaborative 3D Scene Understanding: the #214 most recent of 756 cs.CV papers we have recorded (as of 2026-10-20). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/cogaussian-open-vocabulary-gaussian-based-collaborative-3d-scene-understanding.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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