Monthly Archives: September 2019

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 … Continue reading

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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. … Continue reading

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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 … Continue reading

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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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