The Reduced Immersed Method for Real-Time Fluid-Elastic Solid Interaction and Contact Simulation

Christopher Brandt, Leonardo Scandolo, Elmar Eisemann, Klaus Hildebrandt We introduce the Reduced Immersed Method (RIM) for the real-time simu-lation of two-way coupled incompressible fluids and elastic solids and theinteraction of multiple deformables with (self-)collisions. Our framework isbased on a novel discretization of theimmersed boundary equations of motion,which model fluid and deformables as a single incompressible […]

ScalarFlow: A Large-Scale Volumetric Data Set of Real-world Scalar Transport Flows for Computer Animation and Machine Learning

Marie-Lena Eckert, Kiwon Um, Nils Thuerey In this paper, we present ScalarFlow, a first large-scale data set of reconstructions of real-world smoke plumes. In addition, we propose a framework for accurate physics-based reconstructions from a small number of video streams. Central components of our framework are a novel estimation of unseen inflow regions and an […]

Transport-Based Neural Style Transfer for Smoke Simulations

Byungsoo Kim, Vinicius C. Azevedo, Markus Gross, Barbara Solenthaler Artistically controlling fluids has always been a challenging task. Optimization techniques rely on approximating simulation states towards target velocity or density field configurations, which are often handcrafted by artists to indirectly control smoke dynamics. Patch synthesis techniques transfer image textures or simulation features to a target […]

A Multi-Scale Model for Coupling Strands with Shear-Dependent Liquid

Yun (Raymond) Fei, Christopher Batty, Eitan Grinspun, Changxi Zheng We propose a framework for simulating the complex dynamics of strands interacting with compressible, shear-dependent liquids, such as oil paint, mud, cream, melted chocolate, and pasta sauce. Our framework contains three main components: the strands modeled as discrete rods, the bulk liquid represented as a continuum […]

A Scalable Galerkin Multigrid Method for Real-time Simulation of Deformable Objects

Zangyueyang Xian, Xin Tong, Tiantian Liu We propose a simple yet efficient multigrid scheme to simulate high-resolution deformable objects in their full spaces at interactive frame rates. The point of departure of our method is the Galerkin projection which is simple to construct. However, a naive Galerkin multigrid does not scale well for large and […]

SIGGRAPH Asia 2019

Mandoline: Robust Cut-Cell Generation for Arbitrary Triangle Meshes A Scalable Galerkin Multigrid Method for Real-time Simulation of Deformable Objects A Multi-Scale Model for Coupling Strands with Shear-Dependent Liquid Video-Guided Real-to-Virtual Parameter Transfer for Viscous Fluids A Thermomechanical Material Point Method for Baking and Cooking Transport-Based Neural Style Transfer for Smoke Simulations Taichi: A Language for […]

VIPER: Volume Invariant Position-based Elastic Rods

Baptiste Angles, Daniel Rebain, Miles Macklin, Brian Wyvill, Loic Barthe, JP Lewis, Javier von der Pahlen, Shahram Izadi, Julien Valentin, Sofien Bouaziz, Andrea Tagliasacchi We extend the formulation of position-based rods to include elastic volumetric deformations. We achieve this by introducing an additional degree of freedom per vertex — isotropic scale (and its velocity). Including […]

A Hybrid Material Point Method for Frictional Contact with Diverse Materials

Xuchen Han, Theodore Gast, Qi Guo, Stephanie Wang, Chenfanfu Jiang, Joseph Teran We present a new hybrid Lagrangian Material Point Method for simulating elastic objects like hair, rubber,and soft tissues that utilizes a Lagrangian mesh for internal force computation and an Eulerian mesh for self collision as well as coupling with external materials. While recent […]

Small Steps in Physics Simulation

Miles Macklin, Kier Storey, Michelle Lu, Pierre Terdiman, Nuttapong Chentanez, Stefan Jeschke, Matthias Müller In this paper we re-examine the idea that implicit integrators with large time steps offer the best stability/performance trade-off for stiff systems. We make the surprising observation that performing a single large time step with n constraint solver iterations is less […]

A Second-Order Advection-Reflection Solver

Rahul Narain, Jonas Zehnder, Bernhard Thomaszewski Zehnder et al. [2018] recently introduced an advection-reflection method for fluid simulation that dramatically reduces artificial dissipation. We establish a connection between their method and the implicit midpoint time integration scheme, and present a simple modification to obtain an advection-reflection scheme with second-order accuracy in time. We compare with […]