Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Comicolorization: Semi-Automatic Manga Colorization   We developed "Comicolorization", a semi-automatic colorization system for
manga images. Given a monochrome manga and reference images as inputs, our
system generates a plausible color version of the manga. This is the first work
to address the colorization of an entire manga title (a set of manga pages).
Our method colorizes a whole page (not a single panel) semi-automatically, with
the same color for the same character across multiple panels. To colorize the
target character by the color from the reference image, we extract a color
feature from the reference and feed it to the colorization network to help the
colorization. Our approach employs adversarial loss to encourage the effect of
the color features. Optionally, our tool allows users to revise the
colorization result interactively. By feeding the color features to our deep
colorization network, we accomplish colorization of the entire manga using the
desired colors for each panel.

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The categories of this paper are: astro-ph
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The categories of this paper are: nlin
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The categories of this paper are: quant-ph
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The categories of this paper are: bayes-an
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The categories of this paper are: dg-ga
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The categories of this paper are: math-ph
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The categories of this paper are: gr-qc
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The categories of this paper are: chao-dyn
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The categories of this paper are: hep-lat
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The categories of this paper are: hep-th
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The categories of this paper are: q-fin
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The categories of this paper are: nucl-ex
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The categories of this paper are: eess
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The categories of this paper are: q-bio
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The categories of this paper are: acc-phys
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The categories of this paper are: plasm-ph