Category Archives: Uncategorized

Behrooz Zarebavani, Ahmed H. Mahmoud, Ana Dodik, Changcheng Yuan, Serban D. Porumbescu, John D. Owens, Maryam Mehri Dehnavi, Justin Solomon We present a fast sparse matrix permutation algorithm tailored to linear systems arising from triangle meshes. Our approach produces nested-dissection-style … Continue reading →

Zhen Chen, Etienne Vouga, Danny M. Kaufman While thin shells have ubiquitous applications and have been studied inside and outside computer graphics for decades, there is little consensus on how to best discretize them. We systematically study models for simulating … Continue reading →

Shusen Liu, Yuzhong Guo, Lixin Ren, Ying Qiao, Xiaowei He Simulating free-surface flows requires capturing the effects of incompress-ibility, viscosity, and surface tension. Existing particle-based methods oftenrely on operator splitting, which introduces coupling artifacts and limits sta-bility. We propose a … Continue reading →

Yizao Tang, Yuechen Zhu, Xingyu Ni, Baoquan Chen The simulation of sand–water mixtures requires capturing the stochastic behavior of individual sand particles within a uniform, continuous fluid medium, such as the characteristic of migration, deposition, and plugging across various scenarios. … Continue reading →

José Antonio Fernández-Fernández, Fabian Löschner, Jan Bender Newton’s Method is widely used to find the solution of complex non-linear simulation problems. To guarantee a descent direction, it is common practice to clamp the negative eigenvalues of each element Hessian prior … Continue reading →

Alexandre Mercier-Aubin, Teseo Schneider, Paul G. Kry, Sheldon Andrews We introduce affinification, a novel method for accelerating physics-based animation of elastic solids. During a time-dependent simulation, our method automatically partitions the space into affine and elastic regions depending on the … Continue reading →

Liangwang Ruan, Bin Wang, Tiantian Liu, Baoquan Chen We present an efficient and scalable method for the inverse shape design problem of elastic objects, with broad applicability to diverse materials and interactive editing. The core idea is to decouple material … Continue reading →

Duowen Chen, Zhiqiang Lao, Yu Guo, Heather Yu We introduce a hybrid pipeline that combines classical fluid simulation with modern generative video models to produce high- quality, controllable fluid effects without implementationally difficult solvers or costly ray-tracing. First, a lightweight … Continue reading →

Zoé Herson, Axel Paris, Élie Michel We present a real-time method to capture and simulate the dynamic behavior of watercolor painting. We develop a physically accurate, grid-based, real-time fluid simulation based on a reparameterized Thin Film model. The equations are … Continue reading →

Junyuan Liu, Shusen Liu, Yuzhong Guo, Ruikai Liang, Yin Li, Xiaowei He While semi-analytical boundary handling techniques have proven effective for modeling particle-based fluid-solid interactions, they can become unstable when applied to mesh boundaries undergoing dynamic motion or featuring complex, … Continue reading →