Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Global and Local Consistent Age Generative Adversarial Networks   Age progression/regression is a challenging task due to the complicated and
non-linear transformation in human aging process. Many researches have shown
that both global and local facial features are essential for face
representation, but previous GAN based methods mainly focused on the global
feature in age synthesis. To utilize both global and local facial information,
we propose a Global and Local Consistent Age Generative Adversarial Network
(GLCA-GAN). In our generator, a global network learns the whole facial
structure and simulates the aging trend of the whole face, while three crucial
facial patches are progressed or regressed by three local networks aiming at
imitating subtle changes of crucial facial subregions. To preserve most of the
details in age-attribute-irrelevant areas, our generator learns the residual
face. Moreover, we employ an identity preserving loss to better preserve the
identity information, as well as age preserving loss to enhance the accuracy of
age synthesis. A pixel loss is also adopted to preserve detailed facial
information of the input face. Our proposed method is evaluated on three face
aging datasets, i.e., CACD dataset, Morph dataset and FG-NET dataset.
Experimental results show appealing performance of the proposed method by
comparing with the state-of-the-art.

20
The categories of this paper are: acc-phys
2
The categories of this paper are: math
8
The categories of this paper are: hep-ex
37
The categories of this paper are: supr-con
9
The categories of this paper are: nlin
3
The categories of this paper are: physics
5
The categories of this paper are: gr-qc
24
The categories of this paper are: dg-ga
28
The categories of this paper are: alg-geom
32
The categories of this paper are: atom-ph
10
The categories of this paper are: q-bio
25
The categories of this paper are: patt-sol
6
The categories of this paper are: astro-ph
26
The categories of this paper are: bayes-an
19
The categories of this paper are: eess
16
The categories of this paper are: stat