Category Archives: Uncategorized

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 →

Jingrui Xing, Bin Wang, Mengyu Chu, Baoquan Chen We present a grid-free fluid solver featuring a novel Gaussian representation. Drawing inspiration from the expressive capabilities of 3D Gaussian Splatting in multi-view image reconstruction, we model the continuous flow velocity as … Continue reading →

Yijie Liu, Taiyuan Zhang, Xiaoxiao Yan, Han Yan, Nuoming Liu, Bo Ren The freezing of thin films is a mesmerizing natural phenomenon, inspiring photographers to capture its beauty through their lenses and digital artists to recreate its allure using effects … Continue reading →

Yuchen Sun, Junlin Li, Ruicheng Wang, Sinan Wang, Zhiqi Li, Bart G. van Bloemen Waanders, Bo Zhu We propose Leapfrog Flow Maps (LFM) to simulate incompressible fluids with rich vortical flows in real time. Our key idea is to use … Continue reading →

Duowen Chen*, Zhiqi Li*, Taiyuan Zhang, Jinjin He, Junwei Zhou, Bart G van Bloemen Waanders, Bo Zhu (* Joint First Authors) This paper presents a unified compressible flow map framework designed to accommodate diverse compressible flow systems, including high-Mach-number flows … Continue reading →

Zhiqi Li, Candong Lin, Duowen Chen, Xinyi Zhou, Shiying Xiong, Bo Zhu We propose a novel gauge fluid solver that evolves Clebsch wave functions on particle flow maps (PFMs). The key insight underlying our work is that particle flow maps … Continue reading →

Zhiqi Li*, Ruicheng Wang*, Junlin Li*, Duowen Chen, Sinan Wang, Bo Zhu (* Co-first Authors) We propose the Epsilon Difference Gradient Evolution (EDGE) method for accurate flow-map calculation on grids via Hermite interpolation without using velocity buffers. Our key idea … Continue reading →

Mengdi Wang, Fan Feng, Junlin Li, Bo Zhu We propose the adaptive hybrid particle-grid flow map method, a novel flow-map approach that leverages Lagrangian particles to simultaneously transport impulse and guide grid adaptation, introducing a fully adaptive flow map-based fluid … Continue reading →