Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Geometry Guided Adversarial Facial Expression Synthesis   Facial expression synthesis has drawn much attention in the field of computer
graphics and pattern recognition. It has been widely used in face animation and
recognition. However, it is still challenging due to the high-level semantic
presence of large and non-linear face geometry variations. This paper proposes
a Geometry-Guided Generative Adversarial Network (G2-GAN) for photo-realistic
and identity-preserving facial expression synthesis. We employ facial geometry
(fiducial points) as a controllable condition to guide facial texture synthesis
with specific expression. A pair of generative adversarial subnetworks are
jointly trained towards opposite tasks: expression removal and expression
synthesis. The paired networks form a mapping cycle between neutral expression
and arbitrary expressions, which also facilitate other applications such as
face transfer and expression invariant face recognition. Experimental results
show that our method can generate compelling perceptual results on various
facial expression synthesis databases. An expression invariant face recognition
experiment is also performed to further show the advantages of our proposed
method.

36
The categories of this paper are: cmp-lg
10
The categories of this paper are: q-bio
31
The categories of this paper are: ao-sci
14
The categories of this paper are: math-ph
20
The categories of this paper are: acc-phys
9
The categories of this paper are: nlin
25
The categories of this paper are: patt-sol
2
The categories of this paper are: math
33
The categories of this paper are: plasm-ph
13
The categories of this paper are: quant-ph
12
The categories of this paper are: nucl-th
3
The categories of this paper are: physics
30
The categories of this paper are: q-alg
37
The categories of this paper are: supr-con
24
The categories of this paper are: dg-ga
21
The categories of this paper are: adap-org