Yu Ju (Edwin) Chen, David I.W. Levin, Danny Kaufman, Uri Ascher, Dinesh K. Pai Elastodynamic system simulation is a key procedure in computer graphics and robotics applications. To enable these simulations, the governing differential system is discretized in space (employing FEM) and then in time. For many simulation-based applications keeping the spatial resolution of the […]

Jumyung Chang, Fang Da, Eitan Grinspun, Christopher Batty We present a unified method to simulate deformable elastic bodies consisting of mixed-dimensional components represented with potentially non-manifold simplicial meshes. Building on well-known simplicial rod, shell, and solid models for elastic continua, we categorize and define a comprehensive palette expressing all possible constraints and elastic energies for […]

Minjae Lee, David Hyde, Kevin Li, Ronald Fedkiw We propose a novel volume conserving framework for character-water interaction, using a novel volume-of-fluid solver on a skinned tetrahedral mesh, enabling the high degree of the spatial adaptivity in order to capture thin films and hair-water interactions. For efficiency, the bulk of the fluid volume is simulated […]

Marco Romeo, Carlos Monteagudo, Daniel Sánchez‐Quirós Recent research on muscle and fascia simulation for visual effects relies on numerical methods such as the finite element method or finite volume method. These approaches produce realistic results, but require high computational time and are complex to set up. On the other hand, position‐based dynamics offers a fast […]

Mridul Aanjaneya, Chengguizi Han, Ryan Goldade, Christopher Batty We present an efficient geometric Multigrid solver for simulating viscous liquids based on the variational approach of [Batty and Bridson 2008]. Although the governing equations for viscosity are elliptic, the strong coupling between different velocity components in the discrete stencils mandates the use of more exotic smoothing […]

Maximilian Werhahn, You Xie, Mengyu Chu, Nils Thuerey We propose a novel method to up-sample volumetric functions with generative neural networks using several orthogonal passes. Our method decomposes generative problems on Cartesian field functions into multiple smaller sub-problems that can be learned more efficiently. Specifically, we utilize two separate generative adversarial networks: the first one […]

Fast Simulation of Deformable Characters with Articulated Skeletons in Projective Dynamics VIPER: Volume Invariant Position-based Elastic Rods A Unified Simplicial Model for Mixed-Dimensional and Non-Manifold Deformable Elastic Objects Small Steps in Physics Simulation Building Accurate Physics-based Face Models from Data A Robust Volume Conserving Method for Character-Water Interaction An Efficient Geometric Multigrid Solver for Viscous […]

Bohan Wang, George Matcuk, Jernej Barbič We demonstrate how to acquire complete human hand bone anatomy (meshes) in multiple poses using magnetic resonance imaging (MRI). Such acquisition was previously difficult because MRI scans must be long for high-precision results (over 10 minutes) and because humans cannot hold the hand perfectly still in non-trivial and badly […]