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.
Layoutvlm: Differentiable optimization of 3d layout via vision-language models
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.CV 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
ProcFunc introduces a Python library with function-oriented abstractions for procedural 3D generation in Blender, enabling combinatorial scene creation and demonstrated via a new indoor room generator with compositional materials for synthetic data.
citing papers explorer
-
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.
-
ProcFunc: Function-Oriented Abstractions for Procedural 3D Generation in Python
ProcFunc introduces a Python library with function-oriented abstractions for procedural 3D generation in Blender, enabling combinatorial scene creation and demonstrated via a new indoor room generator with compositional materials for synthetic data.