Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: DeepCloud. The Application of a Data-driven, Generative Model in Design   Generative systems have a significant potential to synthesize innovative
design alternatives. Still, most of the common systems that have been adopted
in design require the designer to explicitly define the specifications of the
procedures and in some cases the design space. In contrast, a generative system
could potentially learn both aspects through processing a database of existing
solutions without the supervision of the designer. To explore this possibility,
we review recent advancements of generative models in machine learning and
current applications of learning techniques in design. Then, we describe the
development of a data-driven generative system titled DeepCloud. It combines an
autoencoder architecture for point clouds with a web-based interface and analog
input devices to provide an intuitive experience for data-driven generation of
design alternatives. We delineate the implementation of two prototypes of
DeepCloud, their contributions, and potentials for generative design.

20
The categories of this paper are: acc-phys
32
The categories of this paper are: atom-ph
33
The categories of this paper are: plasm-ph
3
The categories of this paper are: physics
21
The categories of this paper are: adap-org
7
The categories of this paper are: hep-th
5
The categories of this paper are: gr-qc
4
The categories of this paper are: cond-mat
9
The categories of this paper are: nlin
30
The categories of this paper are: q-alg
36
The categories of this paper are: cmp-lg
8
The categories of this paper are: hep-ex
35
The categories of this paper are: mtrl-th
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The categories of this paper are: econ
2
The categories of this paper are: math
37
The categories of this paper are: supr-con