STABLE generates simulation-ready tabletop scenes by alternating a semantic LLM reasoner for task-aligned coarse layouts with a physics corrector for physical plausibility using progressive scene expansion.
Midi: Multi-instance diffusion for single image to 3d scene generation
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.CV 2verdicts
UNVERDICTED 2representative citing papers
InternScenes is a new dataset of approximately 40,000 simulatable indoor scenes that combines real scans, procedural, and designer sources, preserves small objects for realistic layouts, and includes processing for simulation and interaction.
citing papers explorer
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STABLE: Simulation-Ready Tabletop Layout Generation via a Semantics-Physics Dual System
STABLE generates simulation-ready tabletop scenes by alternating a semantic LLM reasoner for task-aligned coarse layouts with a physics corrector for physical plausibility using progressive scene expansion.
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InternScenes: A Large-scale Simulatable Indoor Scene Dataset with Realistic Layouts
InternScenes is a new dataset of approximately 40,000 simulatable indoor scenes that combines real scans, procedural, and designer sources, preserves small objects for realistic layouts, and includes processing for simulation and interaction.