Comicolorization: Semi-Automatic Manga Colorization
June 21, 2017 ยท Entered Twilight ยท ๐ SIGGRAPH Asia Technical Briefs
"No code URL or promise found in abstract"
"Code repo scraped from project page (backfill)"
Evidence collected by the PWNC Scanner
Repo contents: .gitignore, LICENSE, README.md, bin, neural_art, requirements.txt
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.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
๐ Similar Papers
In the same crypt โ Computer Vision
๐
๐
Old Age
๐
๐
Old Age
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
R.I.P.
๐ป
Ghosted
You Only Look Once: Unified, Real-Time Object Detection
๐
๐
Old Age
SSD: Single Shot MultiBox Detector
๐
๐
Old Age
Squeeze-and-Excitation Networks
R.I.P.
๐ป
Ghosted