DDPS | “Recent progress in reduced-order modeling for computer graphics and sound”

DDPS Talk date: June 28, 2024
Speaker: Doug James (Stanford University, https://graphics.stanford.edu/~djames/)
Description: This talk will be in two parts: (1) progressive simulation for art-directable physics, and (2) improved water sound synthesis using coupled acoustic bubbles.

First, I will talk about our new progressive simulation methods that enable art-directable modeling and animation for cloth and thin shells. This family of coarse-to-fine, level-of-detail simulation methods supports physics-based modeling of complex frictionally contacting thin shell and cloth models in both quasistatic and dynamic scenarios. Based on multiscale model reduction for incremental potential contact, these progressive simulation methods are biased to allow designers to quickly design at coarse resolutions but then "up-res" and still get consistent, higher-fidelity results without introducing simulation artifacts and/or unpredicted outcomes, such as different folds, wrinkles, and drapes. (Work with Ph.D. student Eris Zhang et al.)

Second, I will talk about reduced-order vibration models for synthesizing water sound using coupled acoustic bubbles. Despite the ubiquity of physics-based simulation in visual computing workflows, sound simulation remains relatively unexplored, with realistic water sounds among the most challenging. In our recent work, we developed a framework for simulating the inter-bubble coupling effects crucially missing from prior work, resulting in airborne sounds with more natural pitch variations and fuller lower frequency content. (Work with Ph.D. student Kangrui Xue et al.)
Bio: Doug L. James is a Professor of Computer Science at Stanford University (since June 2015) and a member of Stanford’s Center for Computer Research in Music and Acoustics (CCRMA) and the Institute for Computational and Mathematical Engineering (ICME). He has been a consulting Senior Research Scientist at NVIDIA Research since 2022. He holds three degrees in applied mathematics, including a Ph.D. in 2001 from the University of British Columbia. In 2002 he joined the School of Computer Science at Carnegie Mellon University as an Assistant Professor and later became an Associate Professor of Computer Science at Cornell University (2006-2015). His research interests include computer graphics, computer sound, physically based modeling and animation, and reduced-order physics models. Doug is a recipient of a National Science Foundation CAREER award and a fellow of both the Alfred P. Sloan Foundation and the Guggenheim Foundation. He received the ACM SIGGRAPH 2021 Computer Graphics Achievement Award, a 2012 Technical Achievement Award from The Academy of Motion Picture Arts and Sciences for “Wavelet Turbulence,” and the 2013 Katayanagi Emerging Leadership Prize from Carnegie Mellon University and Tokyo University of Technology. He was the Technical Papers Program Chair of ACM SIGGRAPH 2015, and a consulting Senior Research Scientist at Pixar Animation Studios from 2015-2020.

DDPS webinar: https://www.librom.net/ddps.html
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