FunFact: Building Probabilistic Functional 3D Scene Graphs via Factor-Graph Reasoning
Recent work in 3D scene understanding is moving beyond purely spatial analysis toward functional scene understanding. However, existing methods often consider functional relationships between object pairs in isolation, failing to capture the scene-wide interdependence that humans use to resolve ambiguity. We introduce FunFact, a framework for constructing probabilistic open-vocabulary functional 3D scene graphs from posed RGB-D images. FunFact first builds an object- and part-centric 3D map and uses foundation models to propose semantically plausible functional relations. These candidates are converted into factor graph variables and constrained by both LLM-derived common-sense priors and...
| Authors | Zhengyu Fu, René Zurbrügg, Kaixian Qu et al. |
|---|---|
| Primary category | cs.CV |
| Published | 4 April 2026 |
| Last updated at source | 4 April 2026 |
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- leggedrobotics/funthor-datasetDataset · cited by
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Models and datasets referencing this paper
- yang1117/funthor-datasetDataset
- leggedrobotics/funthor-datasetDataset
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