Presentation

<
JGS2-GQ: Training-free 2nd Jacobi with Gaussian Quadrature
SessionNumerical Methods for Geometry Processing
DescriptionJGS2-GQ replaces data-driven Cubature with training-free Gaussian Quadrature, enabling stable, high-resolution GPU simulation. It handles frictional contact, maintains Newton-like convergence, and outperforms JGS2 by 50% on novel deformations without training.
Authors
Dewen Guo
University of Utah
Zixuan Lu
University of Utah
Zhiyong He
University of Utah
Yuqi Meng
University of Utah
Bohan Wang
National University of Singapore
Lei Lan
State Key Lab of CAD and CG, Zhejiang University
Weiwei Xu
State Key Lab of CAD and CG, Zhejiang University
Chenfanfu Jiang
UCLA
Yin Yang
University of Utah
Event Type
Technical Paper
TimeWednesday, 22 July 20264:35pm - 4:45pm PDT
LocationRoom 403 B
Digital Library PDF
Session Time & Location
Sunday, 19 July 20266:00pm - 8:45pm PDTHall K
Wednesday, 22 July 20263:45pm - 5:35pm PDTRoom 403 B
Keywords
Animation
Modeling
Simulation
Registration Categories
Full Conference Supporter
Full Conference
Next PresentationNext PresentationNumerical Methods for Geometry Processing - Interactive Discussion
Similar Presentations
Interactive Yarn-level Knitwear with Nested Douglas-Rachford Splitting
Progressing Level-of-Detail Animation for Volumetric Elastodynamics
Distributed Affine Body Dynamics with Adaptive Consensus