Monthly Archives: June 2018

Coupled Fluid Density and Motion from Single Views

Marie-Lena Eckert, Wolfgang Heidrich, Nils Thuerey We present a novel method to reconstruct a fluid’s 3D density and motion based on just a single sequence of images. This is rendered possible by using powerful physical priors for this strongly under-determined … Continue reading

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An Efficient Solver for Two-way Coupling Rigid Bodies with Incompressible Flow

Mridul Aanjaneya We present an efficient solver for monolithic two-way coupled simulation of rigid bodies with incompressible fluids that is robust to poor conditioning of the coupled system in the presence of large density ratios between the solid and the … Continue reading

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Collision-Aware and Online Compression of Rigid Body Simulations via Integrated Error Minimization

Timothy Jeruzalski, John Kanji, Alec Jacobson, David I.W. Levin Methods to compress simulation data are invaluable as they facilitate efficient transmission along the visual effects pipeline, fast and efficient replay of simulations for visualization and enable storage of scientific data. … Continue reading

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Energized Rigid Body Fracture

Xiaokai Li, Sheldon Andrews, Ben Jones, Adam Bargteil Compelling animation of fracture is a vital challenge for computer graphics. Methods based on continuum mechanics are physically accurate, but computationally expensive since they require computing elastic deformation. In many applications, this … Continue reading

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Symposium on Computer Animation 2018

Liquid Splash Modeling with Neural Networks Collision-Aware and Online Compression of Rigid Body Simulations via Integrated Error Minimization An Efficient Solver for Two-way Coupling Rigid Bodies with Incompressible Flow A Temporally Adaptive Material Point Method with Regional Time Stepping Time-Domain … Continue reading

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Liquid Splash Modeling with Neural Networks

Kiwon Um, Xiangyu Hu, Nils Thuerey This paper proposes a new data-driven approach to model detailed splashes for liquid simulations with neural networks. Our model learns to generate small-scale splash detail for the fluid-implicit-particle method using training data acquired from … Continue reading

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Turbulent Micropolar SPH Fluids with Foam

Jan Bender, Dan Koschier, Tassilo Kugelstadt, Marcel Weiler In this paper we introduce a novel micropolar material model for the simulation of turbulent inviscid fluids. The governing equations are solved by using the concept of Smoothed Particle Hydrodynamics (SPH). As … Continue reading

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