arXiv Computer Vision
PosEviLoc: Position-Conditioned Spatial Evidence for Language-Based 3D Localization
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SeqAlign3DVG: A Sequence-Aligned Benchmark and Voxel Reasoning Framework for 3D Visual Grounding
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Hugging Face Trending Papers
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SceneBench: A Hierarchical Benchmark for Vision-Language Understanding of 3D Scenes
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SpatialQuery: Benchmarking Geometry-Grounded Multi-Instance Spatial Reasoning in Vision-Language Models
Vision-language models (VLMs) achieve strong semantic understanding but remain unreliable in metric spatial reasoning, particularly when queries require comparing multiple instances of the same object category. We study this problem through the Closest-Instance Distance Query (CIDQ), where a model must identify the nearest visible candidate to a unique reference object and estimate their gravity-aligned floor-plane distance.