AI RESEARCH
UAVReason: A Unified, Large-Scale Benchmark for Multimodal Aerial Scene Reasoning and Generation
arXiv CS.CV
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ArXi:2604.05377v1 Announce Type: new Vision-Language models (VLMs) have nstrated remarkable capability in ground-view visual understanding but often fracture when deployed on high-altitude Unmanned Aerial Vehicles (UAVs). The failure largely stems from a pronounced domain shift, characterized by tiny and densely packed objects, repetitive textures, and ambiguous top-down orientations. These factors severely disrupt semantic grounding and hinder both spatial reasoning and controllable generation. To bridge this critical gap, we.