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DTSTAMP:20240214T070242Z
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:Technical Papers\n\nXuan Li (UCLA); Yu Fang (UCLA, University 
 of Pennsylvania); Lei Lan (University of Utah); Huamin Wang (Style 3D Rese
 arch); Yin Yang (University of Utah, Style 3D Research); Minchen Li (UCLA,
  Carnegie Mellon University); and Chenfanfu Jiang (UCLA, Style 3D Research
 )\n\nWe propose an efficient cloth simulation method that combines the mer
 its of two drastically different numerical procedures, namely the subspace
  integration and parallelizable iterative relaxation. We show those two me
 thods can be organically coupled within the framework of projective dynami
 cs (PD), where both low- and high-frequency cloth motions are effectively 
 and efficiently computed. Our method works seamlessly with the state-of-th
 e-art contact handling algorithm, the incremental potential contact (IPC),
  to offer the non-penetration guarantee of the resulting animation. Our co
 re ingredient centers around the utilization of subspace for the expedited
  convergence of Jacobi-PD. This involves solving the reduced global system
  and smartly employing its precomputed factorization. In addition, we inco
 rporate a time-splitting strategy to handle the frictional self-contacts. 
 \n\nSpecifically, during the PD solve, we employ a quadratic proxy to appr
 oximate the contact barrier. The prefactorized subspace system matrix is e
 xploited in a reduce-space LBFGS. The LBFGS method starts with the reduced
  system matrix of the rest shape as the initial Hessian approximation, inc
 orporating contact information into the reduced system progressively, whil
 e the full-space Jacobi iteration captures high-frequency details. Further
 more, we address penetration issues through a penetration correction step.
  It minimizes an incremental potential without elasticity using Newton-PCG
 . Our method can be efficiently executed on modern GPUs. Experiments show 
 significant performance improvements over existing GPU solvers for high-re
 solution cloth simulation.\n\nRegistration Category: Full Access\n\nSessio
 n Chair: Weiwei Xu (State Key Laboratory of CAD&CG, Zhejiang Univerisity; 
 State Key Lab of CAD and CG, Zhejiang University)
URL:https://asia.siggraph.org/2023/full-program?id=papers_332&sess=sess141
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