报告题目：Elastic Simulation Made Better and Faster
报告摘要：
Using the digital computer to simulate dynamic behavior of elastic objects is a highly desired feature in many scientific and engineering research: in computer animation, it provides realistic effects of soft characters; in surgical simulation, it delivers vivid visual experiences to the trainee; in digital fabrication, it couples geometry design and mechanical analysis. While the basic model has been well established for a while, robustly simulating nonlinear and high-resolution deformable objects is still a challenging problem, especially in a collision-rich environment. In this talk, I will share some of our recent efforts on this classic graphics challenge, and how we manage to improve the quality and the efficiency of the simulation simultaneously. First, I would like to introduce a learning-based model reduction, which is able to capture highly nonlinear material behaviors compactly using a deep network. The network is algorithmically integrated with the simulation pipeline so that the simulation is free of any man-made artifacts. Next, we show a novel numerical solution based on interior point method, embedded in a reduced space, to process collisions and contacts among objects. Lastly, I will present an efficient GPU simulation algorithm using a novel linear solver named aggregated Jacobi. Together, we simulate complicated 3D models with hundred thousand DOFs in real time. All the collisions and contacts will be resolved, regardless of the time step, geometry, and velocity.
讲者简介：
Dr. Yin Yang is currently an Associate Professor with the School of Computing at Clemson University. Before joining Clemson, he was a faculty member at 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). He was a Research/Teaching Assistant at UT Dallas as well as UT Southwestern Medical Center. His research mainly focuses on real-time physics-based computer graphics, animation and simulation with a strong emphasis on interdisciplinarity. He was a Research Intern in Microsoft Research Asia in 2012. He received NSF CRII (2015) and CAREER (2019) awards. Dr. Yang has published over 70 conference/journal articles in areas of computer graphics, animation, machine learning, computer aided design, and medical imaging. He serves as the TPC member for many international conferences and the reviewer for almost all the top journals/conferences in computer graphics and animation.
时间：2022年6月20日(周一)上午9:00-10:00
腾讯会议：608 492 544
