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arXiv 2610.26659 · cs.CV · 2026-10-19

SpatialScout: Can VLM Agents Actively Explore and Map 3D Scenes?

Zhaoxi Zhang, Hao Liang, Linxuan Wu, Yiming Xu, Yifu Yuan, Kun Liang, Chenming Tang, Meiyi Qiang and 2 more

Peking University

In latest · #61 Added on 2026-10-23

One-line takeaway

Peking University’s SpatialScout benchmark (80 indoor scenes, 3,140 objects) asks VLM agents to steer a camera, explore and estimate object centres in a shared frame, testing viewpoint selection, cross-view association, geometry and map revision.

北大发布 SpatialScout 基准：80 个室内场景、3140 个目标物体，要求视觉语言模型智能体自主控制相机探索并估计物体中心坐标，考察选视角、跨视角关联、几何估计与地图修正能力。

170HF upvotes
10GitHub stars
0Citations (Semantic Scholar)
63.5Buzz score

Read on arXiv PDF Hugging Face discussion Code Project page

Topics & disciplines

MultimodalAgentsLLMs

AI × Computer science (algorithms & theory)

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About this data

Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-26.

The takeaway is written by AIMap from the abstract; the abstract itself is not reproduced — read the original.

Data updated: Latest AI papers(UTC+8)