Monthly Archives: May 2021

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 →

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 →

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 →

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 →

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 →

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 →

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 →

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 →

Ante Qu, Doug L James It is increasingly common to model, simulate, and process complex materials based on loopy structures, such as in yarn-level cloth garments, which possess topological constraints between inter-looping curves. While the input model may satisfy specific … Continue reading →

Zachary Ferguson, Minchen Li, Teseo Schneider, Francisca Gil-Ureta, Timothy Langlois, Chenfanfu Jiang, Denis Zorin, Danny M. Kaufman, Daniele Panozzo We introduce the first implicit time-stepping algorithm for rigid body dynamics, with contact and friction, that guarantees intersection-free configurations at every … Continue reading →