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PhySGA: A Physics-Space Grounded Agentic Framework for Generalizable and Interactive 3D Composition
Lyu 2026-10-14
Weichen LyuChong XiaMingyu Dong
3D object composition is pivotal to digital content creation and robot simulation, while also serving as a critical testbed for physical intelligence in foundation models. Previous methods either leverage large language models to directly predict object coordinates, or utilize generative diffusion priors to synthesize composite images for visual alignment, both of which rely on static priors in di
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Key Contributions
- 3D object composition is pivotal to digital content creation and robot simulation, while also serving as a critical testbed for physical intelligence in foundation models.
- Previous methods either leverage large language models to directly predict object coordinates, or utilize generative diffusion priors to synthesize composite images for visual alignment, both of which rely on static priors in di
Research Themes
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