Physics-based fluid simulation has played an increasingly important role in the computer
graphics community. Recent methods in this area have greatly improved the generation of …

Recent advances in internet-scale video data pretraining have led to the development of text-
to-video generative models that can create high-quality videos across a broad range of …

We present a novel method for guaranteeing linear momentum in learned physics
simulations. Unlike existing methods, we enforce conservation of momentum with a hard …

While modern fluid simulation methods achieve high-quality simulation results, it is still a big
challenge to interpret and control motion from visual quantities, such as the advected marker …

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 …

PySPH is an open-source, Python-based, framework for particle methods in general and
Smoothed Particle Hydrodynamics (SPH) in particular. PySPH allows a user to define a …

Multigrid methods are quite efficient for solving the pressure Poisson equation in simulations
of incompressible flow. However, for viscous liquids, geometric multigrid turned out to be …

Snow is a complex material. It resists elastic normal and shear deformations, while some
deformations are plastic. Snow can deform and break. It can be significantly compressed …

This paper introduces a new weighting scheme for particle-grid transfers that generates
hybrid Lagrangian/Eulerian fluid simulations with uniform particle distributions and precise …

In highly dense crowds of humans, collisions between people occur often. It is common to
simulate such a crowd as one fluid-like entity (macroscopic), and not as a set of individuals …