258 citations · 384 across the 8 of their papers we have counts for
5 papers · 1 filter
Curl-Flow: Boundary-Respecting Pointwise Incompressible Velocity Interpolation for Grid-Based Fluids
Jumyung Chang, Ruben Partono, Vinicius C. Azevedo +1
We propose to augment standard grid-based fluid solvers with pointwise divergence-free velocity interpolation, thereby ensuring exact incompressibility down to the sub-cell level.…
Lagrangian Neural Style Transfer for Fluids
Byungsoo Kim, Vinicius C. Azevedo, Markus Gross +1
Artistically controlling the shape, motion and appearance of fluid simulations pose major challenges in visual effects production. In this paper, we present a neural style transfer…
Latent Space Subdivision: Stable and Controllable Time Predictions for Fluid Flow
Steffen Wiewel, Byungsoo Kim, Vinicius C. Azevedo +2
We propose an end-to-end trained neural networkarchitecture to robustly predict the complex dynamics of fluid flows with high temporal stability. We focus on single-phase smoke sim…
Neural Smoke Stylization with Color Transfer
Fabienne Christen, Byungsoo Kim, Vinicius C. Azevedo +1
Artistically controlling fluid simulations requires a large amount of manual work by an artist. The recently presented transportbased neural style transfer approach simplifies work…
Transport-Based Neural Style Transfer for Smoke Simulations
Byungsoo Kim, Vinicius C. Azevedo, Markus Gross +1
Artistically controlling fluids has always been a challenging task. Optimization techniques rely on approximating simulation states towards target velocity or density field configu…