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Matching papers

Urbex: Agentic Spatial Grounding for City-Scale 3D Scenes

109 upvotes · 13 OCT 2026 · Yu Wang, Rui Dai, Wei Chen et al.

This paper proposes a new approach to 3D scene grounding in city-scale images, where an agent actively searches for objects in a scene using a vision-language framework, allowing for more efficient and flexible grounding. Practitioners might care about this research because it could improve the accuracy and speed of object detection in large outdoor scenes.

reinforcement learningagentic vision-language models3D scene groundingactive spatial searchcity-scale scenes