Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Towards Using Clothes Style Transfer for Scenario-aware Person Video
  Generation   Clothes style transfer for person video generation is a challenging task, due
to drastic variations of intra-person appearance and video scenarios. To tackle
this problem, most recent AdaIN-based architectures are proposed to extract
clothes and scenario features for generation. However, these approaches suffer
from being short of fine-grained details and are prone to distort the origin
person. To further improve the generation performance, we propose a novel
framework with disentangled multi-branch encoders and a shared decoder.
Moreover, to pursue the strong video spatio-temporal consistency, an
inner-frame discriminator is delicately designed with input being cross-frame
difference. Besides, the proposed framework possesses the property of scenario
adaptation. Extensive experiments on the TEDXPeople benchmark demonstrate the
superiority of our method over state-of-the-art approaches in terms of image
quality and video coherence.

18
The categories of this paper are: econ
28
The categories of this paper are: alg-geom
23
The categories of this paper are: solv-int
19
The categories of this paper are: eess
5
The categories of this paper are: gr-qc
10
The categories of this paper are: q-bio
33
The categories of this paper are: plasm-ph
30
The categories of this paper are: q-alg
32
The categories of this paper are: atom-ph
3
The categories of this paper are: physics
17
The categories of this paper are: q-fin
36
The categories of this paper are: cmp-lg
13
The categories of this paper are: quant-ph
35
The categories of this paper are: mtrl-th
37
The categories of this paper are: supr-con
24
The categories of this paper are: dg-ga