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arXiv AI By Yijie Su, Yakun Zhu, Yi Bin, Pengpeng Zeng, Liang Chen, Guoqing Wang, Jingkuan Song, Heng Tao Shen

BridgeAfford: Bridging Query-Target Gap for Generalizable 3D Affordance Grounding

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BridgeAfford tackles the query‑target gap in language‑guided 3D affordance grounding by aligning interaction regions across objects and refining queries with visual evidence. The framework introduces Interaction Region Alignment to promote cross‑object consistency of geometrically similar regions, and Visual Evidence Aggregation to guide queries toward correct regions using a 2D affordance model. Experiments on LASO and PIAD show that BridgeAfford outperforms existing methods, especially on unseen objects, demonstrating robust generalization.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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