Comicolorization: Semi-Automatic Manga Colorization

June 21, 2017 ยท Entered Twilight ยท ๐Ÿ› SIGGRAPH Asia Technical Briefs

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Authors Chie Furusawa, Kazuyuki Hiroshiba, Keisuke Ogaki, Yuri Odagiri arXiv ID 1706.06759 Category cs.CV: Computer Vision Cross-listed cs.GR Citations 115 Venue SIGGRAPH Asia Technical Briefs Repository https://github.com/dwango/neural_style_synthesizer โญ 15 Last Checked 6 days ago
Abstract
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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