Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Hierarchical Cloth Simulation using Deep Neural Networks   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.

29
The categories of this paper are: funct-an
9
The categories of this paper are: nlin
15
The categories of this paper are: nucl-ex
4
The categories of this paper are: cond-mat
17
The categories of this paper are: q-fin
16
The categories of this paper are: stat
8
The categories of this paper are: hep-ex
12
The categories of this paper are: nucl-th
30
The categories of this paper are: q-alg
18
The categories of this paper are: econ
27
The categories of this paper are: comp-gas
14
The categories of this paper are: math-ph
34
The categories of this paper are: chem-ph
22
The categories of this paper are: chao-dyn
10
The categories of this paper are: q-bio
33
The categories of this paper are: plasm-ph