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SceneGraphFusion- Incremental 3D Scene Graph Predictionfrom RGB-D Sequences
Posted 2025-03-12Updated 2026-03-15Reviewa few seconds read (About 94 words)   visits

SceneGraphFusion- Incremental 3D Scene Graph Predictionfrom RGB-D Sequences

Overview of the proposed SceneGraphFusion framework. Our method takes a stream of RGB-D images a) as input to create an incremental geometric segmentation b). Then, the properties of each segment and a neighbor graph between segments are constructed. The properties d) and neighbor graph e) of the segments that have been updated in the current frame c) are used as the inputs to compute node and edge features f) and to predict a 3D scene graph g). Finally, the predictions are h) fused back into a globally consistent 3D graph.

SceneGraphFusion- Incremental 3D Scene Graph Predictionfrom RGB-D Sequences

http://chen-yulin.github.io/2025/03/12/[OBS]Reconstruct Anything-相近工作-SceneGraphFusion- Incremental 3D Scene Graph Prediction from RGB-D Sequences/

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Chen Yulin

Posted on

2025-03-12

Updated on

2026-03-15

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#Scene-graphResearch-paperCVReconstruct3D-SceneSemantic
Scene Graph Generation- A comprehensive survey
Reconstruct Anything Literature Review

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