37-Issue 8

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https://diglib.eg.org/handle/10.2312/2632544

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Browsing 37-Issue 8 by Subject "Supervised learning by regression"

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    Liquid Splash Modeling with Neural Networks
    (The Eurographics Association and John Wiley & Sons Ltd., 2018) Um, Kiwon; Hu, Xiangyu; Thuerey, Nils; Thuerey, Nils and Beeler, Thabo
    This paper proposes a new data-driven approach to model detailed splashes for liquid simulations with neural networks. Our model learns to generate small-scale splash detail for the fluid-implicit-particle method using training data acquired from physically parametrized, high resolution simulations. We use neural networks to model the regression of splash formation using a classifier together with a velocity modifier. For the velocity modification, we employ a heteroscedastic model. We evaluate our method for different spatial scales, simulation setups, and solvers. Our simulation results demonstrate that our model significantly improves visual fidelity with a large amount of realistic droplet formation and yields splash detail much more efficiently than finer discretizations.