Monthly Archives: June 2025

Abhishek Madan, Nicholas Sharp, Francis Williams, Ken Museth, David I.W. Levin We present a novel stochastic version of the Barnes-Hut approximation. Regarding the level-of-detail (LOD) family of approximations as control variates, we construct an unbiased estimator of the kernel sum … Continue reading →

Alvin Shi, Haomiao Wu, Theodore Kim We present a method for simulating deformable bodies in four spatial dimensions. To accomplish this, we generalize several pieces of the traditional simulation pipeline. Starting from the meshing stage, we propose a simple method … Continue reading →

Tao Huang, Haoyang Shi, Mengdi Wang*, Yuxing Qiu, Yin Yang, Kui Wu The knit structure consists of interlocked yarns, with each yarn comprising multiple plies comprising tens to hundreds of twisted fibers. This intricate geometry and the large number of … Continue reading →

Jiahao Wen, Jernej Barbič, Danny M. Kaufman We propose a coupled mesh-adaptation model and physical simulation algorithm to jointly generate, per timestep, optimal adaptive remeshings and implicit solutions for the simulation of frictionally contacting elastodynamics. To do so, we begin … Continue reading →

Siyuan Shen, Tianjia Shao, Kun Zhou, Chenfanfu Jiang, Sheldon Andrews, Victor Zordan, Yin Yang We present a framework of elastic locomotion, which allows users to enliven an elastic body to produce interesting locomotion by prescribing its high-level kinematics. We formulate … Continue reading →

Xuan Li, Chang Yu, Wenxin Du, Ying Jiang, Tianyi Xie, Yunuo Chen, Yin Yang, Chenfanfu Jiang Recent advances in large models have significantly advanced image-to-3D reconstruction. However, the generated models are often fused into a single piece, limiting their applicability … Continue reading →

Fumiya Narita, Nimiko Ochiai, Takashi Kanai, Ryoichi Ando This paper introduces a novel grid structure that extends tall cell methods for efficient deep water simulation. Unlike previous tall cell methods, which are designed to capture all the fine details around … Continue reading →

Zhanyu Yang, Aryamaan Jain, Guillaume Cordonnier, Marie-Paule Cani, Zhaopeng Wang, Bedrich Benes We introduce Arenite, a novel physics-based approach for modeling sandstone structures. The key insight of our work is that simulating a combination of stress and multi-factor erosion enables … Continue reading →

Behrooz Zarebavani, Danny Kaufman, David I W Levin, Maryam Mehri Dehnavi We introduce Parth, a fill-reducing ordering method for sparse Cholesky solvers with dynamic sparsity patterns (e.g., in physics simulations with contact or geometry processing with local remeshing). Parth facilitates … Continue reading →

Anka Chen, Jerry Hsu, Ziheng Liu, Miles Macklin, Yin Yang, Cem Yuksel We present a novel contact model, termed Offset Geometric Contact (OGC), for guaranteed penetration-free simulation of codimensional objects with minimal computational overhead. Our method is based on constructing … Continue reading →