Presentation

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NeuPPS: Neural Piecewise Parametric Surfaces
SessionParametric Surfaces
DescriptionWe present Neural Piecewise Parametric Surfaces (NeuPPS) that models complex surface geometries with a coarse patch layout containing arbitrary n-sided surface patches, offering enhanced flexibility, high fitting precision, and ensured continuity between adjacent patches. Applications to surface fitting and shape space learning tasks demonstrate its advantages over existing methods.
Authors
Lei Yang
The University of Hong Kong
Yongqing Liang
Center for Robotics and Embodied Intelligence (CREO)
Xin Li
Texas A&M University
Congyi Zhang
University of Texas Dallas
Guying Lin
Carnegie Mellon University
Cheng Lin
Macau University of Science and Technology
Alla Sheffer
University of British Columbia
Scott Schaefer
Texas A&M University
John Keyser
Texas A&M University
Wenping Wang
Texas A&M University
Presenter
Lei Yang
The University of Hong Kong
Event Type
Technical Paper
TimeTuesday, 21 July 20262:40pm - 2:50pm PDT
LocationRoom 403 B
Session Time & Location
Sunday, 19 July 20266:00pm - 8:45pm PDTHall K
Tuesday, 21 July 20262:00pm - 3:30pm PDTRoom 403 B
Keywords
Geometry
Modeling
Registration Categories
Full Conference Supporter
Full Conference
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