6 citations · 6 across the 5 of their papers we have counts for
5 papers
Topology- and Geometry-Exact Coupling for Incompressible Fluids and Thin Deformables
Jonathan Panuelos, Eitan Grinspun, David Levin
We introduce a topology-preserving discretization for coupling incompressible fluids with thin deformable structures, achieving guaranteed leakproofness through preservation of flu…
VoMP: Predicting Volumetric Mechanical Property Fields
Rishit Dagli, Donglai Xiang, Vismay Modi +7
Physical simulation relies on spatially-varying mechanical properties, often laboriously hand-crafted. VoMP is a feed-forward method trained to predict Young's modulus (), Poiss…
SpringTime: Learning Simulatable Models of Cloth with Spatially-varying Constitutive Properties
Guanxiong Chen, Shashwat Suri, Yuhao Wu +5
Materials used in real clothing exhibit remarkable complexity and spatial variation due to common processes such as stitching, hemming, dyeing, printing, padding, and bonding. Simu…
Neurally Integrated Finite Elements for Differentiable Elasticity on Evolving Domains
Gilles Daviet, Tianchang Shen, Nicholas Sharp +1
We present an elastic simulator for domains defined as evolving implicit functions, which is efficient, robust, and differentiable with respect to both shape and material. This sim…
Automatic Skinning using the Mixed Finite Element Method
Hongcheng Song, Dimitry Kachkovski, Shaimaa Monem +2
In this work, we show that exploiting additional variables in a mixed finite element formulation of deformation leads to an efficient physics-based character skinning algorithm. Ta…