Snug: Self-supervised neural dynamic garments
We present a self-supervised method to learn dynamic 3D deformations of garments worn
by parametric human bodies. State-of-the-art data-driven approaches to model 3D garment …
by parametric human bodies. State-of-the-art data-driven approaches to model 3D garment …
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 real-time prediction of realistic clothing dynamics …
and unsupervised training to enable real-time prediction of realistic clothing dynamics …
Neural cloth simulation
We present a general framework for the garment animation problem through unsupervised
deep learning inspired in physically based simulation. Existing trends in the literature …
deep learning inspired in physically based simulation. Existing trends in the literature …
Projective dynamics: Fusing constraint projections for fast simulation
We present a new method for implicit time integration of physical systems. Our approach
builds a bridge between nodal Finite Element methods and Position Based Dynamics …
builds a bridge between nodal Finite Element methods and Position Based Dynamics …
A review of techniques for modeling flexible cables
Diffcloth: Differentiable cloth simulation with dry frictional contact
Cloth simulation has wide applications in computer animation, garment design, and robot-
assisted dressing. This work presents a differentiable cloth simulator whose additional …
assisted dressing. This work presents a differentiable cloth simulator whose additional …