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Deep Fluids: A Generative Network for Parameterized Fluid Simulations
(The Eurographics Association and John Wiley & Sons Ltd., 2019)
This paper presents a novel generative model to synthesize fluid simulations from a set of reduced parameters. A convolutional neural network is trained on a collection of discrete, parameterizable fluid simulation velocity ...
Latent Space Subdivision: Stable and Controllable Time Predictions for Fluid Flow
(The Eurographics Association and John Wiley & Sons Ltd., 2020)
We propose an end-to-end trained neural network architecture to robustly predict the complex dynamics of fluid flows with high temporal stability. We focus on single-phase smoke simulations in 2D and 3D based on the ...
Deep Reconstruction of 3D Smoke Densities from Artist Sketches
(The Eurographics Association and John Wiley & Sons Ltd., 2022)
Creative processes of artists often start with hand-drawn sketches illustrating an object. Pre-visualizing these keyframes is especially challenging when applied to volumetric materials such as smoke. The authored 3D density ...
Physics-Informed Neural Corrector for Deformation-based Fluid Control
(The Eurographics Association and John Wiley & Sons Ltd., 2023)
Controlling fluid simulations is notoriously difficult due to its high computational cost and the fact that user control inputs can cause unphysical motion. We present an interactive method for deformation-based fluid ...