FOUND-IT constructs evolving task-driven 3D scene graphs with on-demand granularity from monocular cameras by augmenting foundation models, reporting 79% higher accuracy on a grounding benchmark and real-time Jetson deployment.
The bare necessities: Designing simple, effective open-vocabulary scene graphs
2 Pith papers cite this work. Polarity classification is still indexing.
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Terra produces a lightweight task-agnostic metric-semantic 3D scene graph for outdoor environments using terrain-aware place nodes and hierarchically organized regions.
citing papers explorer
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FOUND-IT: Foundation-model-first Task-driven 3D Scene Graphs with Granularity on Demand
FOUND-IT constructs evolving task-driven 3D scene graphs with on-demand granularity from monocular cameras by augmenting foundation models, reporting 79% higher accuracy on a grounding benchmark and real-time Jetson deployment.
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Terra: Hierarchical Terrain-Aware 3D Scene Graph for Task-Agnostic Outdoor Mapping
Terra produces a lightweight task-agnostic metric-semantic 3D scene graph for outdoor environments using terrain-aware place nodes and hierarchically organized regions.