Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Sketchforme: Composing Sketched Scenes from Text Descriptions for
  Interactive Applications   Sketching and natural languages are effective communication media for
interactive applications. We introduce Sketchforme, the first
neural-network-based system that can generate sketches based on text
descriptions specified by users. Sketchforme is capable of gaining high-level
and low-level understanding of multi-object sketched scenes without being
trained on sketched scene datasets annotated with text descriptions. The
sketches composed by Sketchforme are expressive and realistic: we show in our
user study that these sketches convey descriptions better than human-generated
sketches in multiple cases, and 36.5% of those sketches are considered to be
human-generated. We develop multiple interactive applications using these
generated sketches, and show that Sketchforme can significantly improve
language learning applications and support intelligent language-based sketching
assistants.

18
The categories of this paper are: econ
6
The categories of this paper are: astro-ph
21
The categories of this paper are: adap-org
33
The categories of this paper are: plasm-ph
8
The categories of this paper are: hep-ex
37
The categories of this paper are: supr-con
30
The categories of this paper are: q-alg
27
The categories of this paper are: comp-gas
28
The categories of this paper are: alg-geom
16
The categories of this paper are: stat
32
The categories of this paper are: atom-ph
22
The categories of this paper are: chao-dyn
5
The categories of this paper are: gr-qc
34
The categories of this paper are: chem-ph
10
The categories of this paper are: q-bio
13
The categories of this paper are: quant-ph