Monthly Archives: October 2024

Efficient GPU Cloth Simulation with Non-distance Barriers and Subspace Reuse

Lei Lan, Zixuan Lu, Jingyi Long, Chun Yuan, Xuan Li, Xiaowei He, Huamin Wang, Chenfanfu Jiang, Yin Yang This paper pushes the performance of cloth simulation, making the simulation interactive even for high-resolution garment models while keeping every triangle untangled. … Continue reading

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Volumetric Homogenization for Knitwear Simulation

Chun Yuan, Haoyang Shi, Lei Lan, Yuxing Qiu, Cem Yuksel, Huamin Wang, Chenfanfu Jiang, Kui Wu, Yin Yang This paper presents volumetric homogenization, a spatially varying homogenization scheme for knitwear simulation. We are motivated by the observation that macro-scale fabric … Continue reading

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An Eulerian Vortex Method on Flow Maps

Sinan Wang, Yitong Deng, Molin Deng, Hong-Xing Yu, Junwei Zhou, Duowen Chen, Taku Komura, Jiajun Wu, Bo Zhu We present an Eulerian vortex method based on the theory of flow maps to simulate the complex vortical motions of incompressible fluids. … Continue reading

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Solid-Fluid Interaction on Particle Flow Maps

Duowen Chen, Zhiqi Li, Junwei Zhou, Fan Feng, Tao Du, Bo Zhu We propose a novel solid-fluid interaction method for coupling elastic solids with impulse flow maps. Our key idea is to unify the representation of fluid and solid components … Continue reading

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Particle-Laden Fluid on Flow Maps

Zhiqi Li, Duowen Chen, Candong Lin, Jinyuan Liu, Bo Zhu We propose a novel framework for simulating ink as a particle-laden flow using particle flow maps. Our method addresses the limitations of existing flow-map techniques, which struggle with dissipative forces … Continue reading

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Fluid Implicit Particles on Coadjoint Orbits

Mohammad Sina Nabizadeh, Ritoban Roy-Chowdhury, Hang Yin, Ravi Ramamoorthi, Albert Chern We propose Coadjoint Orbit FLIP (CO-FLIP), a high order accurate, structure preserving fluid simulation method in the hybrid Eulerian-Lagrangian framework. We start with a Hamiltonian formulation of the incompressible … Continue reading

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Progressive Dynamics for Cloth and Shell Animation

Jiayi Eris Zhang, Doug L. James, Danny M. Kaufman We propose Progressive Dynamics, a coarse-to-fine, level-of-detail simulation method for the physics-based animation of complex frictionally contacting thin shell and cloth dynamics. Progressive Dynamics provides tight-matching consistency and progressive improvement across … Continue reading

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Reconstruction of implicit surfaces from fluid particles using convolutional neural networks

C. Zhao, Tamar Shinar, Craig Schroeder In this paper, we present a novel network-based approach for reconstructing signed distance functions from fluid particles. The method uses a weighting kernel to transfer particles to a regular grid, which forms the input … Continue reading

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