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DTSTAMP:20260805T205559Z
LOCATION:Room 403  B
DTSTART;TZID=America/Los_Angeles:20260721T091000
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UID:siggraph_SIGGRAPH 2026_sess112_papers_1028@linklings.com
SUMMARY:SimArt: Decomposing Monolithic Meshes into Sim-ready Articulated A
 ssets via MLLM
DESCRIPTION:Chuanrui Zhang (Nanyang Technological University, Singapore); 
 Minghan Qin, Yuang Wang, Baifeng Xie, and Hang Li (ByteDance Seed); and Zi
 wei Wang (Nanyang Technological University, Singapore)\n\nSIMART is a unif
 ied multimodal large language model framework that converts static 3D mesh
 es into simulation-ready articulated assets. By jointly modeling part deco
 mposition and kinematics with a sparse 3D VQ-VAE, it reduces token complex
 ity and enables scalable, high-fidelity object generation for robotics and
  physics-based simulation.\n\nInterest Area: Research & Education\n\nKeywo
 rd: Artificial Intelligence/Machine Learning, Geometry, Modeling, Renderin
 g, Robotics\n\nRegistration Category: Full Conference Supporter, Full Conf
 erence\n\nSession Chair: Qixing Huang (University of Texas Austin)\n\n
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