Author Archives: christopherbatty

Learning Physics with a Hierarchical Graph Network Physically Based Shape Matching Fast Numerical Coarsening with Local Factorizations Stability Analysis of Explicit MPM Wassersplines for Neural Vector-Field Controlled Animation Voronoi Filters for Simulation Enrichment Differentiable Simulation for Outcome-Driven Orthognathic Surgery Planning … Continue reading →

Somehow I seem to have missed making a page for SCA 2021, so here it is! Coupling Friction with Visual Appearance Volume Preserving Simulation of Soft Tissue with Skin Fast Corotated Elastic SPH Solids with Implicit Zero-Energy Mode Control Neural … Continue reading →

A. Bernardin, E. Coevoet, P.G. Kry, S. Andrews, C. Duriez, and M. Marchal In this paper, we propose a physics-based model of suction phenomenon to achieve simulation of deformable objects like suction cups. Our model uses a constraint-based formulation to … Continue reading →

Purvi Goel, Doug L. James Manually tuning physics-based animation parameters to explore a simulation outcome space or achieve desired motion outcomes can be notoriously tedious. Unfortunately, this problem has motivated many sophisticated and specialized optimization-based methods for fine-grained (keyframe) control, … Continue reading →

Joel Wretborn, Sean Flynn, Alexey Stomakhin We present a method for enhancing fluid simulations with realistic bubble and foam detail. We treat bubbles as discrete air particles, two-way coupled with a sparse volumetric Euler flow, as first suggested in [Stomakhin … Continue reading →

Linxu Fan, Lloyd M. Chitalu, Taku Komura Large-scale topological changes play a key role in capturing the fine debris of fracturing virtual brittle material. Real-world, tough brittle fractures have dynamic branching behaviour but numerical simulation of this phenomena is notoriously … Continue reading →

Zhen Chen, Hsiao-yu Chen, Danny M Kaufman, Mélina Skouras, Etienne Vouga We propose a new model and algorithm to capture the high-definition statics of thin shells via coarse meshes. This model predicts global, fine-scale wrinkling at frequencies much higher than the resolution of the … Continue reading →

Michael Tao, Christopher Batty, Mirela Ben-Chen, Eugene Fiume, David I. W. Levin The comprehensive visual modeling of fluid motion has historically been a challenging task, due in no small part to the difficulties inherent in geometries that are non-manifold, open, … Continue reading →

Alejandro Rodriguez, Gabriel Cirio Seams play a fundamental role in the way a garment looks, fits, feels and behaves. Seams can have very different shapes and mechanical properties depending on how fabric is overlapped, folded and stitched together, with garment … Continue reading →

Botao Wu, Zhendong Wang, Huamin Wang In this paper, we wish to push the limit of real-time cloth and deformable body simulation to a higher level with 50K to 500K vertices, based on the development of a novel GPU-based multilevel … Continue reading →