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DTSTAMP:20260114T163642Z
LOCATION:Meeting Room C4.9+C4.10\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231212T144500
DTEND;TZID=Australia/Melbourne:20231212T145500
UID:siggraphasia_SIGGRAPH Asia 2023_sess141_papers_332@linklings.com
SUMMARY:Subspace-Preconditioned GPU Projective Dynamics with Contact for C
 loth Simulation
DESCRIPTION:Xuan Li (UCLA); Yu Fang (UCLA, University of Pennsylvania); Le
 i Lan (University of Utah); Huamin Wang (Style 3D Research); Yin Yang (Uni
 versity of Utah, Style 3D Research); Minchen Li (UCLA, Carnegie Mellon Uni
 versity); and Chenfanfu Jiang (UCLA, Style 3D Research)\n\nWe propose an e
 fficient cloth simulation method that combines the merits of two drastical
 ly different numerical procedures, namely the subspace integration and par
 allelizable iterative relaxation. We show those two methods can be organic
 ally coupled within the framework of projective dynamics (PD), where both 
 low- and high-frequency cloth motions are effectively and efficiently comp
 uted. Our method works seamlessly with the state-of-the-art contact handli
 ng algorithm, the incremental potential contact (IPC), to offer the non-pe
 netration guarantee of the resulting animation. Our core ingredient center
 s around the utilization of subspace for the expedited convergence of Jaco
 bi-PD. This involves solving the reduced global system and smartly employi
 ng its precomputed factorization. In addition, we incorporate a time-split
 ting strategy to handle the frictional self-contacts. \n\nSpecifically, du
 ring the PD solve, we employ a quadratic proxy to approximate the contact 
 barrier. The prefactorized subspace system matrix is exploited in a reduce
 -space LBFGS. The LBFGS method starts with the reduced system matrix of th
 e rest shape as the initial Hessian approximation, incorporating contact i
 nformation into the reduced system progressively, while the full-space Jac
 obi iteration captures high-frequency details. Furthermore, we address pen
 etration issues through a penetration correction step. It minimizes an inc
 remental potential without elasticity using Newton-PCG. Our method can be 
 efficiently executed on modern GPUs. Experiments show significant performa
 nce improvements over existing GPU solvers for high-resolution cloth simul
 ation.\n\nRegistration Category: Full Access\n\nSession Chair: Weiwei Xu (
 State Key Laboratory of CAD&CG, Zhejiang University)\n\n
URL:https://asia.siggraph.org/2023/full-program?id=papers_332&sess=sess141
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