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DTSTAMP:20250110T023312Z
LOCATION:Hall B7 (1)\, B Block\, Level 7
DTSTART;TZID=Asia/Tokyo:20241205T093400
DTEND;TZID=Asia/Tokyo:20241205T094600
UID:siggraphasia_SIGGRAPH Asia 2024_sess126_papers_155@linklings.com
SUMMARY:Efficient GPU Cloth Simulation with Non-distance Barriers and Subs
 pace Reuse
DESCRIPTION:Technical Papers\n\nLei Lan, Zixuan Lu, Jingyi Long, and Chun 
 Yuan (University of Utah); Xuan Li (University of California Los Angeles);
  Xiaowei He (Institute of software, Chinese Academy of Sciences); Huamin W
 ang (Style3D Research); Chenfanfu Jiang (University of California Los Ange
 les); and Yin Yang (University of Utah)\n\nThis paper pushes the performan
 ce of cloth simulation, making the simulation interactive even for high-re
 solution garment models while keeping every triangle untangled. The penetr
 ation-free guarantee is inspired by the interior point method, which conve
 rts the inequality constraints to barrier potentials. We propose a major o
 verhaul of this modality within the projective dynamics framework by lever
 aging an adaptive weighting mechanism inspired by barrier formulation. Thi
 s approach does not depend on the distance between mesh primitives, but on
  the virtual life span of a collision event and thus keeps all the vertice
 s within feasible region. Such a non-distance barrier model allows a new w
 ay to integrate collision resolution into the simulation pipeline. Another
  contributor to the performance boost comes from the subspace reuse strate
 gy. This is based on the observation that low-frequency strain propagation
  is near orthogonal to the deformation induced by collisions or self-colli
 sions, often of high frequency. Subspace reuse then takes care of low-freq
 uency residuals, while high-frequency residuals can also be effectively sm
 oothed by GPU-based iterative solvers. We show that our method outperforms
  existing fast cloth simulators by at least one order while producing high
 -quality animations of high-resolution models.\n\nRegistration Category: F
 ull Access, Full Access Supporter\n\nLanguage Format: English Language\n\n
 Session Chair: Paul Kry (McGill University)
URL:https://asia.siggraph.org/2024/program/?id=papers_155&sess=sess126
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