Universal 3D Shape Matching via Coarse-to-Fine Language Guidance

ArXi:2602.19112v3 Announce Type: replace Establishing dense correspondences between shapes is a crucial task in computer vision and graphics, while prior approaches depend on near-isometric assumptions and homogeneous subject types (i.e., only operate for human shapes). However, building semantic correspondences for cross-category objects remains challenging and has received relatively little attention.