Author Archives: christopherbatty

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 … Continue reading

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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, … Continue reading

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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 … Continue reading

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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 … Continue reading

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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 … Continue reading

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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. … Continue reading

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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 … Continue reading

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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 … Continue reading

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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 … Continue reading

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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 … Continue reading

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