AI RESEARCH
3ViewSense: Spatial and Mental Perspective Reasoning from Orthographic Views in Vision-Language Models
arXiv CS.CL
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ArXi:2603.07751v1 Announce Type: cross Current Large Language Models have achieved Olympiad-level logic, yet Vision-Language Models paradoxically falter on elementary spatial tasks like block counting. This capability mismatch reveals a critical ``spatial intelligence gap,'' where models fail to construct coherent 3D mental representations from 2D observations. We uncover this gap via diagnostic analyses showing the bottleneck is a missing view-consistent spatial interface rather than insufficient visual features or weak reasoning. To bridge this, we.