HOOD: Hierarchical Graphs for Generalized Modelling of Clothing Dynamics
HOOD: Hierarchical Graphs for Generalized Modelling of Clothing Dynamics
We propose a method that leverages graph neural networks, multi-level message passing, and unsupervised training to enable efficient prediction of realistic clothing dynamics. Whereas existing methods based on linear blend skinning must be trained for specific garments, our method, called HOOD, is agnostic to body shape and applies to tight-fitting …