Author Archives: christopherbatty

Multiscale Cholesky Preconditioning for Ill-conditioned Problems

Jiong Chen, Florian Schäfer, Jin Huang, Mathieu Desbrun Many computer graphics applications boil down to solving sparse systems of linear equations. While the current arsenal of numerical solvers available in various specialized libraries and for different computer architectures often allow … Continue reading

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High-order Differentiable Autoencoder for Nonlinear Model Reduction

Siyuan Shen, Yang Yin, Tianjia Shao, He Wang, Chenfanfu Jiang, Lei Lan, Kun Zhou This paper provides a new avenue for exploiting deep neural networks to improve physics-based simulation. Specifically, we integrate the classic Lagrangian mechanics with a deep autoencoder … Continue reading

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GPU-Based Simulation of Cloth Wrinkles at Submillimeter Levels

Huamin Wang In this paper, we study physics-based cloth simulation in a very high reso-lution setting, presumably at submillimeter levels with millions of vertices,to meet perceptual precision of our human eyes. State-of-the-art simulation techniques, mostly developed for unstructured triangular meshes, … Continue reading

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A Safe and Fast Repulsion Method for GPU-based Cloth Self Collisions

Longhua Wu, Botao Wu, Yin Yang, Huamin Wang Cloth dynamics and collision handling are the two most challenging topics in cloth simulation. While researchers have substantially improved the performance of cloth dynamics solvers recently, their success in fast collision detection … Continue reading

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Stream-Guided Smoke Simulations

Syuhei Sato, Yoshinori Dobashi, Theodore Kim High-resolution fluid simulations are computationally expensive, so many post-processing methods have been proposed to add turbulent details to low-resolution flows. Guiding methods are one promising approach for adding naturalistic, detailed motions as a post-process, … Continue reading

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The Shape Matching Element Method: Direct Animation of Curved Surface Models

Ty Trusty, Honglin Chen, David I.W. Levin We introduce a new method for direct physics-based animation of volumetric curved models, represented using NURBS surfaces. Our technical contribution is the Shape Matching Element Method (SEM). SEM is a completely meshless algorithm, … Continue reading

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Medial IPC: Accelerated Incremental Potential Contact with Medial Elastics

Lei Lan*, Yin Yang*, Danny M. Kaufman, Junfeng Yao, Minchen Li, Chenfanfu Jiang (*equal contribution) We propose a framework of efficient nonlinear deformable simulation with both fast continuous collision detection and robust collision resolution. We name this new framework Medial … Continue reading

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A Large Scale Benchmark and an Inclusion-Based Algorithm for Continuous Collision Detection

Bolun Wang, Zachary Ferguson, Teseo Schneider, Xin Jiang, Marco Attene, Daniele Panozzo We introduce a large-scale benchmark for continuous collision detection (CCD) algorithms, composed of queries manually constructed to highlight challenging degenerate cases and automatically generated using existing simulators to … Continue reading

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Learning Contact Corrections for Handle-Based Subspace Dynamics

Cristian Romero, Dan Casas, Jesús Pérez, Miguel A. Otaduy This paper introduces a novel subspace method for the simulation of dynamic deformations. The method augments existing linear handle-based subspace formulations with nonlinear learning-based corrections parameterized by the same subspace. Together, … Continue reading

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Codimensional Incremental Potential Contact

Minchen Li, Danny M. Kaufman, Chenfanfu Jiang We extend the incremental potential contact (IPC) model [Li et al. 2020] for contacting elastodynamics to resolve systems composed of arbitrary combinations of codimensional degrees-of-freedoms. This enables a unified, interpenetration-free, robust, and stable … Continue reading

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