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CSIG图形图像技术国际在线研讨会第八期(高效物理仿真专题)将于10月11日在线举办

2022-09-29

如何对真实世界中的物理现象进行高效模拟是计算机图形学与视觉研究的关键问题之一,在影视工业、智能制造等诸多领域中有着广泛的应用前景。近年来,随着数值求解技术的进一步发展,数值模拟能够更高效模拟复杂度很高的流体细节和碰撞现象,吸引了全球相关学者的关注,成为了一个热门的学科研究话题。

围绕这一主题,中国图象图形学学会(CSIG)将于北京时间2022年10月11日周二上午9点-11点在线主办《CSIG高效物理仿真技术国际研讨会》。会议邀请了工作在美国的2位一线研究人员来介绍自由曲面涡流仿真的Clebsch方法、内点法碰撞约束求解加速等最新研究成果,并将探讨当前挑战和未来趋势。

主办单位:中国图象图形学学会(CSIG)

承办单位:CSIG国际合作与交流工作委员会、CSIG智能图形专业委员会

会议时间:2022年10月11日(周二)9:00-11:00

直播链接:

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会议日程:

本次研讨会面向全球直播,无需事前注册或缴费。

 

讲者简介:

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Shiyig Xiong

Dartmouth Colledge

Shiying Xiong is a Postdoctoral Researcher working with Prof. Bo Zhu in the Visual Computing Lab at Dartmouth College. He received a Ph.D. in Fluid Mechanics at Peking University in 2019, advised by Prof. Yue Yang. Before starting his Ph.D., he obtained a Bachelor's degree in Physics at Jilin University in 2014. His research interests include Computational Physics, Vortex Dynamics, and Scientific Machine Learning. He has published papers at SIGGRAPH, ICLR, NeurIPS, JFM, JCP, PoF, etc. More information can be reached via: https://shiyingxiong.github.io/

Talk title: A Clebsch Method for Free-Surface Vortical Flow Simulation

Abstract: We propose a novel Clebsch method to simulate the free-surface vortical flows. At the center of our approach lies a level-set method enhanced by a wave-function correction scheme and a wave-function extrapolation algorithm to tackle the Clebsch method's numerical instabilities near a dynamic interface. By combining the Clebsch wave function's expressiveness in representing vortical structures and the level-set function's ability on tracking interfacial dynamics, we can model complex vortex-interface interaction problems that exhibit rich free-surface flow details on a Cartesian grid. We showcase the efficacy of our approach by simulating a wide range of new free-surface flow phenomena that were impractical for previous methods, including horseshoe vortex, sink vortex, bubble rings, and free-surface wake vortices.

 

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Yin Yang

University of Utah

Dr. Yin Yang is currently an Associate Professor with the School of Computing at the University of Utah. Before joining Utah, he was a faculty member at University of New Mexico and Clemson University. 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.

Talk title: Accelerate Penetration-free Simulation

Abstract: Incremental potential contact (IPC) is an emerging numerical solution to handle collisions and contacts between virtual objects. While demonstrating excellent robustness and accuracy, the computational overhead of IPC remains significant. In this talk, I would like to share with you a few or our recent projects aiming to accelerate IPC-involved simulations. With a dedicated reduced-order model, IPC can be speeded up by orders of magnitude. Stiff object simulation can also greatly benefit from reduced IPC simulation. As IPC relaxes the complementary slackness, penetration-free variational optimization becomes compatible with other optimization and simulation algorithms. We demonstrate one of possibilities using projective dynamics.

 

主持人简介:

 

 

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Weiwei Xu

Zhejiang University

He is now the chief Professor of the State Key Laboratory of CAD&CG, College of Computer Science and Technology, Zhejiang University, and the Changjiang Scholar of the Ministry of Education. He was a POSTDOCTORAL fellow at Ritsumeikan University, a researcher at the NETWORK GRAPHICS GROUP of Microsoft Research Asia, and a DISTINGUISHED Professor of QianJIANG scholars of Zhejiang Province in Hangzhou Normal University. His research interests include computer graphics, including 3D reconstruction, deep learning, physical simulation, and 3D printing. He has published more than 80 papers in high-level academic conferences and journals nationally and internationally, including more than 40 CCF-A papers such as ACM Transactions on Graphics, IEEE TVCG, IEEE CVPR, AAAI, etc. China and the United States authorized 15 patents. The developed 3D registration and reconstruction techniques have been applied in high precision scanners and 3D human body reconstruction systems. In 2014, supported by the National Natural Science Foundation for Excellent Youth, he presided over one key project of National Natural Science Foundation and won the second prize of natural science in Zhejiang Province.