  Fast and reliable physically-based simulation techniques are essential for
providing flexible visual effects for computer graphics content. In this paper,
we propose a fast and reliable hierarchical cloth simulation method, which
combines conventional physically-based simulation with deep neural networks
(DNN). Simulations of the coarsest level of the hierarchical model are
calculated using conventional physically-based simulations, and more detailed
levels are generated by inference using DNN models. We demonstrate that our
method generates reliable and fast cloth simulation results through experiments
under various conditions.
