Monthly Archives: August 2025

Chen Zhao, Tamar Shinar, Craig Schroeder Recently, Zhao et al . [2024] proposed a new method for constructing signed distance functions from fluid simulation particles. This method was able to achieve superior surface smoothness, noise reduction, and temporal coherence compared … Continue reading →

Yue Chang, Mengfei Liu, Zhecheng Wang, Peter Yichen Chen, Eitan Grinspun Cutting thin-walled deformable structures is common in daily life, but poses significant challenges for simulation due to the introduced spatial discontinuities. Traditional methods rely on mesh-based domain representations, which … Continue reading →

Xingyu Ni, Jingrui Xing, Xingqiao Li, Bin Wang, Baoquan Chen Accurately reconstructing continuous flow fields from sparse or indirect measurements remains an open challenge, as existing techniques often suffer from oversmoothing artifacts, reliance on heterogeneous architectures, and the computational burden … Continue reading →

Joël Pelletier-Guénette, Alexandre Mercier-Aubin, Sheldon Andrews We introduce an efficient solution to the problem of continuous collision detection (CCD) between triangle geometry and signed distance fields (SDFs). We formulate the triangle-SDF collision problem as a novel spatio-temporal local optimization that … Continue reading →

Melissa Katz, Paul G. Kry, Sheldon Andrews We extend the concept of traditional rigging, which links polygonal meshes to an underlying skeleton for 3D characters, to the creation of physics-based wheeled vehicle models directly from surface geometry. Unlike character rigging, … Continue reading →

Proceedings (all papers freely available): https://dl.acm.org/toc/pacmcgit/2025/8/4