SAM-V: Geometry-Aware Segment Anything for Multi-View Instance Segmentation
SAM-V introduces a prompt-fusion mechanism that enriches sparse SAM prompt tokens with view-specific camera tokens and local VGGT features, making the prompt representation both view-aware and spatially grounded, together with a mask decoder that attends to dense 2D and 3D features.
Jiang-Shan Gong, Yuqun Wu, Qiqian Fu et al.
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