3D Scene Graph Alignment
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Benchmarks
3DSSG
Most implemented
SG-PGM: Partial Graph Matching Network with Semantic Geometric Fusion for 3D Scene Graph Alignment and Its Downstream Tasks
SGAligner : 3D Scene Alignment with Scene Graphs
Papers
OpenSGA: Efficient 3D Scene Graph Alignment in the Open World
Scene graph alignment establishes object correspondences between two 3D scene graphs constructed from partially overlapping observations. This enables efficient scene understanding and object-level relocalization when a …
3D Scene Graph AlignmentScene UnderstandingSGAligner++: Cross-Modal Language-Aided 3D Scene Graph Alignment
Aligning 3D scene graphs is a crucial initial step for several applications in robot navigation and embodied perception. Current methods in 3D scene graph alignment often rely on single-modality point cloud data and stru…
3D Scene Graph AlignmentVisual LocalizationScene Understanding3D ReconstructionSG-PGM: Partial Graph Matching Network with Semantic Geometric Fusion for 3D Scene Graph Alignment and Its Downstream Tasks
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 grap…
3D Scene Graph AlignmentGraph MatchingGraph Neural NetworkPoint Cloud Registration+1SGAligner : 3D Scene Alignment with Scene Graphs
Building 3D scene graphs has recently emerged as a topic in scene representation for several embodied AI applications to represent the world in a structured and rich manner. With their increased use in solving downstream…
3D Scene Graph AlignmentContrastive LearningKnowledge GraphsPoint Cloud Registration