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DTSTAMP:20260805T205603Z
LOCATION:Room 403 A
DTSTART;TZID=America/Los_Angeles:20260720T154500
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UID:siggraph_SIGGRAPH 2026_sess110_papers_475@linklings.com
SUMMARY:TwinPose: Person-Specific Subspaces for Multi-View 3D Pose Estimat
 ion
DESCRIPTION:Wenwu Yang, Tianyi He, Jiwei Ding, Xun Wang, and Rong Zhang (Z
 hejiang Gongshang University) and Kun Zhou (Zhejiang University)\n\nTwinPo
 se is an observation-driven framework for real-time multi-person 3D motion
  capture from sparse multi-view inputs in complex scenes. By constructing 
 instance-aware "twin poses" that unify 2D pose semantics and multi-view ge
 ometric consistency, it enables robust, efficient, and detector-agnostic 3
 D human pose estimation, even under occlusions and dense interactions.\n\n
 Interest Area: Research & Education\n\nKeyword: Animation, Artificial Inte
 lligence/Machine Learning, Generative AI, Geometry, Modeling, Simulation, 
 Virtual Reality\n\nRegistration Category: Full Conference Supporter, Full 
 Conference\n\nSession Chair: Ruizhen Hu (Shenzhen University (SZU))\n\n
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