March 29, 2024, 4:45 a.m. | Yaxu Xie, Alain Pagani, Didier Stricker

cs.CV updates on

arXiv:2403.19474v1 Announce Type: new
Abstract: Scene graphs have been recently introduced into 3D spatial understanding as a comprehensive representation of the scene. The alignment between 3D scene graphs is the first step of many downstream tasks such as scene graph aided point cloud registration, mosaicking, overlap checking, and robot navigation. In this work, we treat 3D scene graph alignment as a partial graph-matching problem and propose to solve it with a graph neural network. We reuse the geometric features learned …

abstract alignment arxiv fusion graph graphs network representation semantic spatial tasks type understanding

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