We present Animatomy, a novel anatomic+ animator centric representation of the human
face. Present FACS-based systems are plagued with problems of face muscle separation …

We present a method for enhancing fluid simulations with realistic bubble and foam detail.
We treat bubbles as discrete air particles, two-way coupled with a sparse volumetric Euler …

Efficiently solving large-scale box-constrained convex quadratic programs (QPs) is an
important computational challenge in physical simulation. We propose a new multilevel …

In this article, we present a four-layer distributed simulation system and its adaptation to the
Material Point Method (MPM). The system is built upon a performance portable C++ …

Nonlinear systems arising from time integrators like Backward Euler can sometimes be
reformulated as optimization problems, known as incremental potentials. We show through a …

Physically-based light transport simulation has become a widely established standard to
generate images in the movie industry. It promises various important practical advantages …

We devise a local–global solver dedicated to the simulation of Discrete Elastic Rods (DER)
with Coulomb friction that can fully leverage the massively parallel compute capabilities of …

We present an isotropic, hyperelastic model specifically designed for the efficient simulation
of tightly coiled hairs whose curl radii approach 5 mm. Our model is robust to large bends …

We propose a new barrier-based box-constrained convex QP solver based on a primal-dual
interior point method to efficiently solve large-scale pressure Poisson problems with non …

One of the notorious issues for Reinforcement Learning (RL) is poor sample efficiency.
Compared to single agent RL, the sample efficiency for Multi-Agent Reinforcement Learning …