We propose a temporally coherent generative model addressing the super-resolution
problem for fluid flows. Our work represents a first approach to synthesize four-dimensional …

Physically based deformable models have been widely embraced by the Computer
Graphics community. Many problems outlined in a previous survey by Gibson and Mirtich …

We present a novel data-driven algorithm to synthesize high resolution flow simulations with
reusable repositories of space-time flow data. In our work, we employ a descriptor learning …

The back and forth error compensation and correction (BFECC) method advects the solution
forward and then backward in time. The result is compared to the original data to estimate …

We present a novel wavelet method for the simulation of fluids at high spatial resolution. The
algorithm enables large-and small-scale detail to be edited separately, allowing high …

The animation of delicate vortical structures of gas and liquids has been of great interest in
computer graphics. However, common velocity-based fluid solvers can damp the vortical …

We propose a novel method to up-sample volumetric functions with generative neural
networks using several orthogonal passes. Our method decomposes generative problems …

In this paper, we present ScalarFlow, a first large-scale data set of reconstructions of real-
world smoke plumes. In addition, we propose a framework for accurate physics-based …

This study presents the formulation and validation of a three-dimensional Flow Lattice Model
(FLM) with application to the Hygro-Thermo-Chemical (HTC) model for analysis of moisture …

Simulating fluids based on vortex filaments is highly attractive for the creation of special
effects because it gives artists full control over the simulation using familiar tools like curve …