Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: WarpGAN: Automatic Caricature Generation   We propose, WarpGAN, a fully automatic network that can generate caricatures
given an input face photo. Besides transferring rich texture styles, WarpGAN
learns to automatically predict a set of control points that can warp the photo
into a caricature, while preserving identity. We introduce an
identity-preserving adversarial loss that aids the discriminator to distinguish
between different subjects. Moreover, WarpGAN allows customization of the
generated caricatures by controlling the exaggeration extent and the visual
styles. Experimental results on a public domain dataset, WebCaricature, show
that WarpGAN is capable of generating a diverse set of caricatures while
preserving the identities. Five caricature experts suggest that caricatures
generated by WarpGAN are visually similar to hand-drawn ones and only prominent
facial features are exaggerated.

18
The categories of this paper are: econ
35
The categories of this paper are: mtrl-th
25
The categories of this paper are: patt-sol
2
The categories of this paper are: math
3
The categories of this paper are: physics
10
The categories of this paper are: q-bio
34
The categories of this paper are: chem-ph
26
The categories of this paper are: bayes-an
12
The categories of this paper are: nucl-th
6
The categories of this paper are: astro-ph
30
The categories of this paper are: q-alg
4
The categories of this paper are: cond-mat
0
The categories of this paper are: hep-ph
9
The categories of this paper are: nlin
17
The categories of this paper are: q-fin
36
The categories of this paper are: cmp-lg