Volume Maps: An Implicit Boundary Representation for SPH

Jan Bender, Tassilo Kugelstadt, Marcel Weiler, Dan Koschier In this paper, we present a novel method for the robust handling of static and dynamic rigid boundaries in Smoothed Particle Hydrodynamics (SPH) simulations. We build upon the ideas of the density maps approach which has been introduced recently by Koschier and Bender. They precompute the density […]

Mandoline: Robust Cut-Cell Generation for Arbitrary Triangle Meshes

Michael Tao, Christopher Batty, Eugene Fiume, David IW Levin Although geometry arising “in the wild” most often comes in the form of a surface representation, a plethora of geometrical and physical applications require the construction of volumetric embeddings either of the geometry itself or the domain surrounding it. Cartesian cut-cell-based mesh generation provides an attractive […]

Consistent Shepard Interpolation for SPH-Based Fluid Animation

Stefan Reinhardt, Tim Krake, Bernhard Eberhardt, Daniel Weiskopf We present a novel technique to correct errors introduced by the discretization of a fluid body when animating it with smoothed particle hydrodynamics (SPH). Our approach is based on the Shepard correction, which reduces the interpolation errors from irregularly spaced data. With Shepard correction, the smoothing kernel […]

A Thermomechanical Material Point Method for Baking and Cooking

Mengyuan Ding, Xuchen Han, Stephanie Wang, Theodore Gast, Joseph Teran We present a Material Point Method for visual simulation of baking breads, cookies, pancakes and similar materials that consist of dough or batter (mixtures of water flour, eggs, fat, sugar and leavening agents). We develop a novel thermomechanical model using mixture theory to resolve interactions […]

Taichi: A Language for High-Performance Computation on Spatially Sparse Data Structures

Yuanming Hu, Tzu-Mao Li, Luke Anderson, Jonathan Ragan-Kelley, Fredo Durand 3D visual computing data are often spatially sparse. To exploit such sparsity, people have developed hierarchical sparse data structures, such as multi-level sparse voxel grids, particles, and 3D hash tables. However, developing and using these high-performance sparse data structures is challenging, due to their intrinsic […]

Learning an Intrinsic Garment Space for Interactive Authoring of Garment Animation

Tuanfeng Y. Wang, Tianjia Shao, Kai Fu, Niloy Mitra Authoring dynamic garment shapes for character animation on body motion is one of the fundamental steps in the CG industry. Established workflows are either time and labor consuming (i.e., manual editing on dense frames with controllers), or lack keyframe-level control (i.e., physically-based simulation). Not surprisingly, garment […]

Real2Sim: Visco-elastic parameter estimation from dynamic motion

David Hahn, Pol Banzet, James M. Bern, Stelian Coros This paper presents a method for optimizing visco-elastic material parameters of a finite element simulation to best approximate the dynamic motion of real-world soft objects. We compute the gradient with respect to the material parameters of a least-squares error objective function using either direct sensitivity analysis […]

Accelerating ADMM for efficient simulation and optimization

Juyong Zhang, Yue Peng, Wenqing Ouyang, Bailin Deng The alternating direction method of multipliers (ADMM) is a popular approach for solving optimization problems that are potentially non-smooth and with hard constraints. It has been applied to various computer graphics applications, including physical simulation, geometry processing, and image processing. However, ADMM can take a long time […]

Material-adapted Refinable Basis Functions for Elasticity Simulation

Jiong Chen, Max Budninskiy, Houman Owhadi, Hujun Bao, Jin Huang, Mathieu Desbrun In this paper, we introduce a hierarchical construction of material-adapted refinable basis functions and associated wavelets to offer efficient coarse-graining of linear elastic objects. While spectral methods rely on global basis functions to restrict the number of degrees of freedom, our basis functions […]

SoftCon: Simulation and Control of Soft-Bodied Animals with Biomimetic Actuators

Sehee Min, Jungdam Won, Seunghwan Lee, Jungnam Park, Jehee Lee We present a novel and general framework for the design and control of underwater soft-bodied animals. The whole body of an animal consisting of soft tissues is modeled by tetrahedral and triangular FEM meshes. The contraction of muscles embedded in the soft tissues actuates the […]