It has been 25 years since Sulsky and her coworkers developed the first version of the
material point method (MPM): a quasi particle method to solve continuum mechanics …

We introduce PhysGaussian a new method that seamlessly integrates physically grounded
Newtonian dynamics within 3D Gaussians to achieve high-quality novel motion synthesis …

In this paper, we introduce the Moving Least Squares Material Point Method (MLS-MPM).
MLS-MPM naturally leads to the formulation of Affine Particle-In-Cell (APIC)[Jiang et al …

Recent progress in deep learning is essentially based on a “big data for small tasks”
paradigm, under which massive amounts of data are used to train a classifier for a single …

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 …

We propose a hybrid neural network (NN) and PDE approach for learning generalizable
PDE dynamics from motion observations. Many NN approaches learn an end-to-end model …

Simulating the physical behaviors of deformable objects and fluids has been an important
topic in computer graphics. While the Lagrangian Finite Element Method (FEM) is widely …

The typical elastic surface or curve simulation method takes a Lagrangian approach and
consists of three components: time integration, collision detection and collision response …

Existing approaches to system identification (estimating the physical parameters of an
object) from videos assume known object geometries. This precludes their applicability in a …

We simulate sand dynamics using an elastoplastic, continuum assumption. We demonstrate
that the Drucker-Prager plastic flow model combined with a Hencky-strain-based …