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CoRef-GS: Cooperative Referring Gaussian Splatting for Multi-Agent Scene Understanding

Paper recorded by Signals 4 on 2026-09-17 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-17 on arXiv · recorded by Signals 4 on 2026-09-18

Category: cs.CV · 计算机视觉 · first seen 2026-09-18

Abstract

Referring scene understanding for embodied robots requires grounding object- and relation-centric language queries from a designated viewpoint. While a local semantic Gaussian map can support such grounding within one agent's observations, cooperative settings require this ability to remain effective after independently reconstructed maps are aligned and fused. In this setting, the referred target

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#15 most recent of 237 cs.CV papers we have recorded · ↑ newer: RawSLAM: Online HDR Gaussian SLAM from Linear Radiance · ↓ older: PointZero: 3D Point Track Completion for Learning Transferable 3D Dyna
Cite this page: CoRef-GS: Cooperative Referring Gaussian Splatting for Multi-Agent Scene Understanding: the #15 most recent of 237 cs.CV papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/coref-gs-cooperative-referring-gaussian-splatting-for-multi-agent-scene-understa.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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