Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: SSAT: A Symmetric Semantic-Aware Transformer Network for Makeup Transfer
  and Removal   Makeup transfer is not only to extract the makeup style of the reference
image, but also to render the makeup style to the semantic corresponding
position of the target image. However, most existing methods focus on the
former and ignore the latter, resulting in a failure to achieve desired
results. To solve the above problems, we propose a unified Symmetric
Semantic-Aware Transformer (SSAT) network, which incorporates semantic
correspondence learning to realize makeup transfer and removal simultaneously.
In SSAT, a novel Symmetric Semantic Corresponding Feature Transfer (SSCFT)
module and a weakly supervised semantic loss are proposed to model and
facilitate the establishment of accurate semantic correspondence. In the
generation process, the extracted makeup features are spatially distorted by
SSCFT to achieve semantic alignment with the target image, then the distorted
makeup features are combined with unmodified makeup irrelevant features to
produce the final result. Experiments show that our method obtains more
visually accurate makeup transfer results, and user study in comparison with
other state-of-the-art makeup transfer methods reflects the superiority of our
method. Besides, we verify the robustness of the proposed method in the
difference of expression and pose, object occlusion scenes, and extend it to
video makeup transfer. Code will be available at
https://gitee.com/sunzhaoyang0304/ssat-msp.

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The categories of this paper are: adap-org
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The categories of this paper are: cmp-lg
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The categories of this paper are: hep-lat
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The categories of this paper are: gr-qc
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The categories of this paper are: atom-ph
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The categories of this paper are: q-fin
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The categories of this paper are: hep-ph
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The categories of this paper are: alg-geom
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The categories of this paper are: physics
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The categories of this paper are: astro-ph
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The categories of this paper are: ao-sci
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The categories of this paper are: econ
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The categories of this paper are: stat
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The categories of this paper are: chao-dyn
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The categories of this paper are: bayes-an
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The categories of this paper are: funct-an