Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: EvoGAN: An Evolutionary Computation Assisted GAN   The image synthesis technique is relatively well established which can
generate facial images that are indistinguishable even by human beings.
However, all of these approaches uses gradients to condition the output,
resulting in the outputting the same image with the same input. Also, they can
only generate images with basic expression or mimic an expression instead of
generating compound expression. In real life, however, human expressions are of
great diversity and complexity. In this paper, we propose an evolutionary
algorithm (EA) assisted GAN, named EvoGAN, to generate various compound
expressions with any accurate target compound expression. EvoGAN uses an EA to
search target results in the data distribution learned by GAN. Specifically, we
use the Facial Action Coding System (FACS) as the encoding of an EA and use a
pre-trained GAN to generate human facial images, and then use a pre-trained
classifier to recognize the expression composition of the synthesized images as
the fitness function to guide the search of the EA. Combined random searching
algorithm, various images with the target expression can be easily sythesized.
Quantitative and Qualitative results are presented on several compound
expressions, and the experimental results demonstrate the feasibility and the
potential of EvoGAN.

2
The categories of this paper are: math
15
The categories of this paper are: nucl-ex
35
The categories of this paper are: mtrl-th
8
The categories of this paper are: hep-ex
29
The categories of this paper are: funct-an
20
The categories of this paper are: acc-phys
12
The categories of this paper are: nucl-th
34
The categories of this paper are: chem-ph
37
The categories of this paper are: supr-con
10
The categories of this paper are: q-bio
32
The categories of this paper are: atom-ph
28
The categories of this paper are: alg-geom
26
The categories of this paper are: bayes-an
16
The categories of this paper are: stat
21
The categories of this paper are: adap-org
6
The categories of this paper are: astro-ph