Category Archives: Uncategorized

An Efficient Construction of Reduced Deformable Objects

Christoph von Tycowicz, Christian Schulz, Hans-Peter Seidel, Klaus Hildebrandt Many efficient computational methods for physical simulation are based on model reduction. We propose new model reduction techniques for the approximation of reduced forces and for the construction of reduced shape … Continue reading

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Inverse Dynamic Hair Modeling with Frictional Contact

Alexandre Derouet-Jourdan, Florence Bertails-Descoubes, Gilles Daviet, Joelle Thollot In the latest years, considerable progress has been achieved for accurately acquiring the geometry of human hair, thus largely improving the realism of virtual characters. In parallel, rich and robust physics-based simulators … Continue reading

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Physics-Based Animation of Large-scale Splashing Liquids

Dan Gerzewski, Adam Bargteil Fluid simulation has been one of the greatest successes of physics-based animation, generating hundreds of research papers and a great many special effects over the last fifteen years. However, the animation of large-scale, splashing liquids remains … Continue reading

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Simulation and Control of Skeleton-Driven Soft Body Characters

Libin Liu, KangKang Yin, Bin Wang, Baining Guo In this paper we present a physics-based framework for simulation and control of human-like skeleton-driven soft body characters. We couple the skeleton dynamics and the soft body dynamics to enable two-way interactions between the … Continue reading

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Fast Simulation of Mass-Spring Systems

Tiantian Liu, Adam Bargteil, James F. O’Brien, Ladislav Kavan We describe a scheme for time integration of mass-spring systems that makes use of a solver based on block coordinate descent. This scheme provides a fast solution for classical linear (Hookean) springs. … Continue reading

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Efficient Penetration Depth Approximation using Active Learning

Jia Pan, Xinyu Zhang, Dinesh Manocha We present a new method for efficiently computing the global penetration depth between two rigid objects using machine learning techniques. Our approach consists of two phases: offline learning and performing run-time queries. In the … Continue reading

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A Material Point Method for Snow Simulation

Alexey Stomakhin, Craig Schroeder, Lawrence Chai, Joseph Teran, Andrew Selle Snow is a challenging natural phenomenon to visually simulate. While the graphics community has previously considered accumulation and rendering of snow, animation of snow dynamics has not been fully addressed. Additionally, existing … Continue reading

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Course: Turbulent Fluids

Tobias Pfaff, Nils Thuerey, Theodore Kim Over the last decade, the special effects industry has embraced physics simulations as a highly useful tool for creating realistic scenes ranging from a small camp fire to the large scale destruction of whole … Continue reading

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SIGGRAPH Asia 2013

Ke-Sen’s full list here. Without further ado: Physics-based Animation of Large-scale Splashing Liquids Fast Simulation of Mass-Spring Systems Inverse Dynamic Hair Modeling with Frictional Contacts Versatile Surface Tension and Adhesion for SPH Fluids Efficient Penetration Depth Approximation using Active Learning … Continue reading

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A New Grid Structure for Domain Extension

Bo Zhu, Wenlong Lu, Matthew Cong, Byungmoon Kim, Ronald Fedkiw We present an efficient grid structure that extends a uniform grid to create a significantly larger far-field grid by dynamically extending the cells surrounding a fine uniform grid while still maintaining … Continue reading

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