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UID:siggraph_SIGGRAPH 2026_sess104_papers_148@linklings.com
SUMMARY:SMP: Reusable Score-Matching Motion Priors for Physics-Based Chara
 cter Control
DESCRIPTION:Yuxuan Mu, Ziyu Zhang, Yi Shi, and Dun Yang (Simon Fraser Univ
 ersity); Minami Matsumoto and Kotaro Imamura (Sony Interactive Entertainme
 nt); Guy Tevet (Stanford University); Chuan Guo (Snap); Michael Taylor (So
 ny Interactive Entertainment); Chang Shu and Pengcheng Xi (National Resear
 ch Council Canada); and Xue Bin Peng (Simon Fraser University, NVIDIA)\n\n
 SMP builds reusable and modular reward models for training motor controlle
 rs. Once constructed from a motion dataset, the priors can be reused acros
 s diverse tasks while preserving the behaviors in the data, without requir
 ing access to the original dataset or retraining.\n\nInterest Area: Resear
 ch & Education\n\nKeyword: Animation, Artificial Intelligence/Machine Lear
 ning, Robotics, Simulation\n\nRegistration Category: Full Conference Suppo
 rter, Full Conference\n\nSession Chair: Yuting Ye (Reality Labs Research, 
 Meta; Meta)\n\n
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