Author Archives: christopherbatty

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

Jiayi Eris Zhang, Doug L. James, Danny M. Kaufman The recently developed Progressive Dynamics framework [Zhang et al. 2024] addresses the long-standing challenge in enabling rapid iterative design for high-fidelity cloth and shell animation. In this work, we identify fundamental … Continue reading →

Federico Sichetti, Enrico Puppo, Zizhou Huang, Marco Attene, Denis Zorin, Daniele Panozzo Many problems in computer graphics can be formulated as finding theglobal minimum of a function subject to a set of non-linear constraints(Minimize), or finding all solutions of a … Continue reading →

Siyuan Chen, Yixin Chen, Jonathan Panuelos, Otman Benchekroun, Yue Chang, Eitan Grinspun, Zhecheng Wang We present a novel reduced-order fluid simulation technique leveraging Dynamic Mode Decomposition (DMD) to achieve fast, memory-efficient, and user-controllable subspace simulation. We demonstrate that our approach … Continue reading →

Guirec Maloisel, Ruben Grandia, Christian Schumacher, Espen Knoop, Moritz Bächer We present a constrained Rigid Body Dynamics (RBD) that guarantees satisfaction of kinematic constraints, enabling direct simulation of complex mechanical systems with arbitrary kinematic structures. We present a constrained Rigid … Continue reading →

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 →