AI RESEARCH
UAVFF3D: A Geometry-Aware Benchmark for Feed-Forward UAV 3D Reconstruction
arXiv CS.CV
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ArXi:2605.17942v1 Announce Type: new Feed-forward 3D reconstruction has recently nstrated strong generalization across diverse scenes, yet its performance in UAV imagery remains underexplored due to distinctive acquisition geometries, large viewpoint variations, and ambiguity between horizontal field of view and flight height. We present UAVFF3D, a geometry-aware benchmark for feed-forward UAV 3D reconstruction, comprising over 170K real UAV images and than 370K high-quality synthetic images.