Splash in a Flash: Sharpness-aware Minimization for Efficient Liquid Splash Simulation
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Date
2022
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
We present sharpness-aware minimization (SAM) for fluid dynamics which can efficiently learn the plausible dynamics of liquid splashes. Due to its ability to achieve robust and generalizing solutions, SAM efficiently converges to a parameter set that predicts plausible dynamics of elusive liquid splashes. Our training scheme requires 6 times smaller number of epochs to converge and, 4 times shorter wall-clock time. Our result shows that sharpness of loss function has a close connection to the plausibility of fluid dynamics and suggests further applicability of SAM to machine learning based fluid simulation.
Description
CCS Concepts: Animation --> Fluid simulation; Methods and Applications --> Machine Learning; Neural Nets ; Optimization; Visualization --> Scientific Visualization
@inproceedings{10.2312:egp.20221003,
booktitle = {Eurographics 2022 - Posters},
editor = {Sauvage, Basile and Hasic-Telalovic, Jasminka},
title = {{Splash in a Flash: Sharpness-aware Minimization for Efficient Liquid Splash Simulation}},
author = {Jetly, Vishrut and Ibayashi, Hikaru and Nakano, Aiichiro},
year = {2022},
publisher = {The Eurographics Association},
ISSN = {1017-4656},
ISBN = {978-3-03868-171-7},
DOI = {10.2312/egp.20221003}
}