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DTSTAMP:20260805T205605Z
LOCATION:Room 403 A
DTSTART;TZID=America/Los_Angeles:20260721T142000
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UID:siggraph_SIGGRAPH 2026_sess104_papers_706@linklings.com
SUMMARY:MotionBricks: Scalable Real-Time Motions with Modular Latent Gener
 ative Model and Smart Primitives
DESCRIPTION:Tingwu Wang, Olivier Dionne, Michael De Ruyter, David Minor, a
 nd Davis Rempe (NVIDIA); Kaifeng Zhao (NVIDIA, ETH Zürich); Mathis Petrovi
 ch, Ye Yuan, Chenran Li, Zhengyi Luo, Brian Robison, Xavier Blackwell, and
  Bernardo Antoniazzi (NVIDIA); Xue Bing Peng (NVIDIA, Simon Fraser Univers
 ity); Yuke Zhu (NVIDIA, The University of Texas at Austin); and Simon Yuen
  (NVIDIA)\n\nMotionBricks is a real-time generative framework that transfo
 rms interactive motion control for animation and robotics. By combining a 
 large-scale latent backbone with intuitive "smart primitives," it delivers
  high-quality, zero-shot motion synthesis at 15,000 FPS, allowing users to
  effortlessly build complex and fine-grained animations and robotic applic
 ations.\n\nInterest Area: Research & Education\n\nKeyword: Animation, Arti
 ficial Intelligence/Machine Learning, Robotics, Simulation\n\nRegistration
  Category: Full Conference Supporter, Full Conference\n\nSession Chair: Yu
 ting Ye (Reality Labs Research, Meta; Meta)\n\n
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