Author Archives: christopherbatty

Qiang Chen, Zhigang Deng, Feng Li, Yuming Fang, Tingsong Lu, Yang Tong, Yifan Zuo Realistic simulation of the intricate wing deformations seen in flying insects not only deepens our comprehension of insect flight mechanics but also opens up numerous applications … Continue reading →

Zizhou Huang, Davi Colli Tozoni, Arvi Gjoka, Zachary Ferguson, Teseo Schneider, Daniele Panozzo, Denis Zorin We introduce a general differentiable solver for time-dependent deformation problems with contact and friction. Our approach uses a finite element discretization with a high-order time … Continue reading →

Ying Jiang, Chang Yu, Tianyi Xie, Xuan Li, Yutao Feng, Huamin Wang, Minchen Li, Henry Lau, Feng Gao, Yin Yang, Chenfanfu Jiang As consumer Virtual Reality (VR) and Mixed Reality (MR) technologies gain momentum, there’s a growing focus on the … Continue reading →

Yousuf Soliman, Marcel Padilla, Oliver Gross, Felix Knöppel, Ulrich Pinkall, Peter Schröder Given a sequence of poses of a body we study the motion resulting when the body is immersed in a (possibly) moving, incompressible medium. With the poses given, … Continue reading →

Pranav Jain, Peter Yichen Chen, Ziyin Qu, Oded Stein The idea of using a neural network to represent continuous vector fields (i.e., neural fields) has become popular for solving PDEs arising from physics simulations. Here, the classical spatial discretization (e.g., … Continue reading →

Ryusuke Sugimoto, Christopher Batty, Toshiya Hachisuka We present a velocity-based Monte Carlo fluid solver that overcomes the limitations of its existing vorticity-based counterpart. Because the velocity-based formulation is more commonly used in graphics, our Monte Carlo solver can be readily … Continue reading →

Wei Li, Kui Wu, Mathieu Desbrun Despite its visual appeal, the simulation of separated multiphase flows (i.e., streams of fluids separated by interfaces) faces numerous challenges in accurately reproducing complex behaviors such as guggling, wetting, or bubbling. These difficulties are … Continue reading →

Jiong Chen, Florian Schäfer, Mathieu Desbrun The method of fundamental solutions (MFS) and its associated boundary element method (BEM) have gained popularity in computer graphics due to the reduced dimensionality they offer: for three-dimensional linear problems, they only require variables … Continue reading →

Petros Tzathas, Boris Gailleton, Philippe Steer, Guillaume Cordonnier Terrain generation methods have long been divided between procedural and physically-based. Procedural methods build upon the fast evaluation of a mathematical function but suffer from a lack of geological consistency, while physically-based … Continue reading →