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Where to Look Matters: Learning Influential Views for VLM-based 3D Visual Grounding

Chiang, Tsung-Chih et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognition
Recent zero-shot 3D visual grounding methods leverage vision-language models (VLMs) to localize objects in 3D scenes from natural language queries. However, these methods typically rely on heuristic rules to select which camera views are provided to the VLM, often prioritizing object visibility rath
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