Subspace-Preconditioned GPU Projective Dynamics with Contact for Cloth Simulation

Xuan Li	Yu Fang	Lei Lan	Huamin Wang	Yin Yang	Minchen Li	Chenfanfu Jiang

ACM SIGGRAPH Asia (2023)

We propose an efficient cloth simulation method that combines the merits of two drastically different numerical procedures, namely subspace integration and parallelizable iterative relaxation. We show that those two methods can be organically coupled within the framework of projective dynamics (PD), where both low- and high-frequency cloth motions are effectively and efficiently computed. Our method works seamlessly with the state-of-the-art contact handling algorithm, incremental potential contact (IPC), to offer the non-penetration guarantee of the resulting animation. Our core 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 incorporate a time-splitting strategy to handle the frictional self-contacts.

Xuan Li, Yu Fang, Lei Lan, Huamin Wang, Yin Yang, Minchen Li, Chenfanfu Jiang (2023). Subspace-Preconditioned GPU Projective Dynamics with Contact for Cloth Simulation. ACM SIGGRAPH Asia.

@article{li2023subspacePDIPC,
title = {Subspace-Preconditioned GPU Projective Dynamics with Contact for Cloth Simulation},
author = {Xuan Li, Yu Fang, Lei Lan, Huamin Wang, Yin Yang, Minchen Li, Chenfanfu Jiang},
booktitle = {ACM SIGGRAPH Asia},
year = {2023},
}