Monthly Archives: May 2023

A Contact Proxy Splitting Method for Lagrangian Solid-Fluid Coupling Second-order Stencil Descent for Interior-point Hyperelasticity A Sparse Distributed Gigascale Resolution Material Point Method PolyStokes: A Polynomial Model Reduction Method for Viscous Fluid Simulation Data-Free Learning of Reduced-Order Kinematics Generalizing Shallow … Continue reading →

Fan Feng, Jinyuan Liu, Shiying Xiong, Shuqi Yang, Yaorui Zhang, Bo Zhu We propose a new incompressible Navier–Stokes solver based on the impulse gauge transformation. The mathematical model of our approach draws from the impulse–velocity formulation of Navier–Stokes equations, which … Continue reading →

Tianyu Wang, Jiong Chen, Dongping Li, Xiaowei Liu, Huamin Wang, Kun Zhou Step-and-project is a popular way to simulate non-penetrated deformable bodies in physically-based animation. First integrating the system in time regardless of contacts and post resolving potential intersections practically … Continue reading →

Chongyao Zhao, Jinkeng Lin, Tianyu Wang, Hujun Bao, Jin Huang Piecewise linear inextensible Cosserat rods are usually represented by Cartesian coordinates of vertices and quaternions on the segments. Such representations use excessive degrees of freedom (DOFs), and need many additional … Continue reading →

Simon Duenser, Bernhard Thomaszewski, Roi Poranne, Stelian Coros Many flexible structures are characterized by a small number of compliantmodes, i.e., large deformation paths that can be traversed with little mechanical effort, whereas resistance to other deformations is much stiffer. Predicting … Continue reading →

Nicolas Rosset, Guillaume Cordonnier, Regis Duvigneau, Adrien Bousseau The design of car shapes requires a delicate balance between aesthetic and performance. While fluid simulation provides the means to evaluate the aerodynamic performance of a given shape, its computational cost hinders … Continue reading →

Tianxing Li, Rui Shi, Takashi Kanai This paper presents a novel learning-based clothing deformation method to generate rich and reasonable detailed deformations for garments worn by bodies of various shapes in various animations. In contrast to existing learning-based methods, which … Continue reading →

Carlos Rodriguez-Pardo, Melania Prieto-Martin, Dan Casas, Elena Garces We propose a method to estimate the mechanical parameters of fabrics using a casual capture setup with a depth camera. Our approach enables to create mechanically-correct digital representations of real-world textile materials, … Continue reading →

Katja Wolff, Philipp Herholz, Verena Ziegler, Frauke Link, Nico Brügel, Olga Sorkine-Hornung The standardized sizes used in the garment industry do not cover the range of individual differences in body shape for most people, leading to ill-fitting clothes, high return … Continue reading →

Differentiable Depth for Real2Sim Calibration of Soft Body Simulations How Will it Drape? Capturing Fabric Mechanics from Depth Images Physics-Informed Neural Corrector for Deformation-based Fluid Control An Optimization-based SPH Solver for Simulation of Hyperelastic Solids Monolithic Friction and Contact Handling … Continue reading →