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Ming-Yu Dong

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#artificial intelligence Preprint Oct 2026

PhySGA: A Physics-Space Grounded Agentic Framework for Generalizable and Interactive 3D Composition

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...

Weichen Lyu, Chong Xia, Ming-Yu Dong et al. · 0 citations
Preprint Sep 2026

GIF: Agentic Generation of Interactive and Functional Object Compositions for Robot Learning

GIF, an agentic Generation framework for Interactive and Functional object compositions, recast this problem as disentangled reconstruction followed by relative pose recovery, revealing diversity scaling in both simulation and real-world deployment.

Long-Ji Xu, Zhi-Qi Zhang, Mi Yan et al. · 2 citations · ⚡2

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