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DTSTAMP:20260805T205600Z
LOCATION:Room 403  B
DTSTART;TZID=America/Los_Angeles:20260721T144000
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UID:siggraph_SIGGRAPH 2026_sess125_paperstog_121@linklings.com
SUMMARY:NeuPPS: Neural Piecewise Parametric Surfaces
DESCRIPTION:Lei Yang (The University of Hong Kong); Yongqing Liang (Center
  for Robotics and Embodied Intelligence (CREO)); Xin Li (Texas A&M Univers
 ity); Congyi Zhang (University of Texas Dallas); Guying Lin (Carnegie Mell
 on University); Cheng Lin (Macau University of Science and Technology); Al
 la Sheffer (University of British Columbia); Scott Schaefer, John Keyser, 
 and Wenping Wang (Texas A&M University); and Lei Yang\n\nWe present Neural
  Piecewise Parametric Surfaces (NeuPPS) that models complex surface geomet
 ries with a coarse patch layout containing arbitrary n-sided surface patch
 es, offering enhanced flexibility, high fitting precision, and ensured con
 tinuity between adjacent patches. Applications to surface fitting and shap
 e space learning tasks demonstrate its advantages over existing methods.\n
 \nInterest Area: Research & Education\n\nKeyword: Fabrication, Geometry, M
 odeling, Simulation\n\nRegistration Category: Full Conference Supporter, F
 ull Conference\n\nSession Chair: Stephanie Wang (Independent)\n\n
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