报告时间：2024年10月8日下午14:30
报告地点：浙江大学紫金港校区蒙民伟楼527会议室
报告题目：Efficient Cloth Simulation with Non-distance Barriers and Subspace Reuse
报告人：杨垠 副教授 美国犹他大学
主持人：许威威 教授
报告摘要： We show how to push the performance of high-resolution cloth simulation, making the simulation interactive (in milliseconds) for models with one million degrees of freedom (DOFs) while keeping every triangle untangled. The guarantee of being penetration-free is inspired by the interior-point method, which converts the inequality constraints to barrier potentials. Nevertheless, we propose a major overhaul of this modality by defining a novel and simple barrier formulation which does not depend on the distance between mesh primitives. Such a non-distance barrier model allows a new way to integrate collision detection into the simulation pipeline. Another contributor to the performance boost comes from the so-called subspace reuse strategy. This is based on the observation that low-frequency strain vibrations are near orthogonal to the deformation induced by collisions or self-collisions, often of high frequency. Subspace reuse then takes care of low-frequency residuals, while high-frequency residuals can also be effectively smoothed by GPU-based iterative solvers. We show that our method outperforms existing fast cloth simulators by nearly one order while keeping the entire simulation penetration-free and producing high-equality animations of high-resolution models.
个人简介: Dr. Yin Yang is currently an Associate Professor with the Kahlert School of Computing at the University of Utah. Before joining the U, he was a faculty member at Clemson University and the University of New Mexico. He received Ph.D. degree of Computer Science from The University of Texas, Dallas in 2013 (the awardee of David Daniel Fellowship Prize). His research mainly focuses on real-time physics-based animation and simulation and 3D vision. He was a Research Intern at Microsoft Research Asia in 2012. He received NSF CRII (2015) and CAREER (2019) awards.
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