PAT3D: Physics-Augmented Text-to-3D Scene Generation

ICLR 2026 Conference Submission22325 Authors

Keywords: Text-to-3D Generation, Vision Language Models, Rigid Body Contact Simulation, Simulation-In-The-Loop Optimization

Abstract: We introduce PAT3D, the first physics-augmented text-to-3D scene generation framework that integrates vision–language models with physics-based simulation to produce physically plausible, simulation-ready, and intersection-free 3D scenes. Given a text prompt, PAT3D generates 3D objects, infers their spatial relations, and organizes them into a hierarchical scene tree, which is then converted into initial simulation conditions. A rigid-body simulator ensures realistic object interactions under gravity, driving the scene toward static equilibrium without interpenetrations. To further enhance scene quality, we introduce a simulation-in-the-loop optimization procedure that guarantees physical stability and non-intersection, while improving semantic consistency with the input prompt. Experiments demonstrate that PAT3D substantially outperforms prior approaches in physical plausibility, semantic accuracy, and visual quality. Beyond high-quality generation, PAT3D uniquely enables simulation-ready 3D scenes for downstream tasks such as scene editing and robotic manipulation. Code and data will be released upon acceptance.

Primary Area: applications to computer vision, audio, language, and other modalities

Submission Number: 22325