Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Dance In the Wild: Monocular Human Animation with Neural Dynamic
  Appearance Synthesis   Synthesizing dynamic appearances of humans in motion plays a central role in
applications such as AR/VR and video editing. While many recent methods have
been proposed to tackle this problem, handling loose garments with complex
textures and high dynamic motion still remains challenging. In this paper, we
propose a video based appearance synthesis method that tackles such challenges
and demonstrates high quality results for in-the-wild videos that have not been
shown before. Specifically, we adopt a StyleGAN based architecture to the task
of person specific video based motion retargeting. We introduce a novel motion
signature that is used to modulate the generator weights to capture dynamic
appearance changes as well as regularizing the single frame based pose
estimates to improve temporal coherency. We evaluate our method on a set of
challenging videos and show that our approach achieves state-of-the art
performance both qualitatively and quantitatively.

10
The categories of this paper are: q-bio
36
The categories of this paper are: cmp-lg
26
The categories of this paper are: bayes-an
8
The categories of this paper are: hep-ex
13
The categories of this paper are: quant-ph
9
The categories of this paper are: nlin
11
The categories of this paper are: hep-lat
18
The categories of this paper are: econ
22
The categories of this paper are: chao-dyn
37
The categories of this paper are: supr-con
29
The categories of this paper are: funct-an
24
The categories of this paper are: dg-ga
31
The categories of this paper are: ao-sci
6
The categories of this paper are: astro-ph
23
The categories of this paper are: solv-int
32
The categories of this paper are: atom-ph