Monthly Archives: September 2021

Yong Li, Shoaib Kamil, Alec Jacobson, Yotam Gingold Communicating linear algebra in written form is challenging: mathematicians must choose between writing in languages that produce well-formatted but semantically-underdefined representations such as LaTeX; or languages with well-defined semantics but notation unlike … Continue reading →

Jing Li, Tiantian Liu, Ladislav Kavan, Baoquan Chen We propose a new algorithm for updating a Cholesky factorization which speeds up Projective Dynamics simulations with topological changes. Our approach addresses an important limitation of the original Projective Dynamics, i.e., that … Continue reading →

Yuchen Sun*, Xingyu Ni*, Bo Zhu, Bin Wang, Baoquan Chen We propose a novel numerical scheme to simulate interactions between a magnetic field and nonlinearly magnetized objects immersed in it. Under our nonlinear magnetization framework, the strength of magnetic forces is effectively saturated to … Continue reading →

J. A. Amador Herrera, T. Hädrich, W. Pałubicki, D. T. Banuti, S. Pirk, D. L. Michels. Due to the complex interplay of various meteorological phenomena, simulating weather is a challenging and open research problem. In this contribution, we propose a … Continue reading →

Kai Bai, Chunhao Wang, Mathieu Desbrun, Xiaopei Liu Predicting the fine and intricate details of a turbulent flow field in both space and time from a coarse input remains a major challenge despite the availability of modern machine learning tools. … Continue reading →

Chaoyang Lyu, Wei Li, Mathieu Desbrun, Xiaopei Liu The intricate motions and complex vortical structures generated by the interaction between fluids and solids are visually fascinating. However, reproducing such a two-way coupling between thin objects and turbulent fluids numerically is … Continue reading →

Fast and Versatile Fluid-Solid Coupling for Turbulent Flow Simulation Predicting High-Resolution Turbulence Details in Space and Time Weatherscapes: Nowcasting Heat Transfer and Water Continuity Ships, Splashes, and Waves on a Vast Ocean A Material Point Method for Nonlinearly Magnetized Materials … Continue reading →

Nghia Truong, Cem Yuksel, Chakrit Watcharopas, Joshua A. Levine, Robert M. Kirby Robustly handling collisions between individual particles in a large particle-based simulation has been a challenging problem. We introduce particle merging-and-splitting, a simple scheme for robustly handling collisions between … Continue reading →

Xu Wang, Makoto Fujisawa, Masahiko Mikawa This paper introduces a method for simulating soil-structure coupling with water, which involves a series of visual effects, including wet granular materials, seepage flows, capillary action between grains, and dam breaking simulation. We develop … Continue reading →

Bruno Roy, Pierre Poulin, Eric Paquette We present a novel up-resing technique for generating high-resolution liquids based on scene flow estimation using deep neural networks. Our approach infers and synthesizes small- and large-scale details solely froma low-resolution particle-based liquid simulation. … Continue reading →