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Interactive Manga Colorization with Fast Flat Coloring

Published: 14 December 2021 Publication History

Abstract

This paper proposes an interactive semi-automatic system for manga colorization. In our system, users can colorize monochrome manga images interactively by scribbling the desired colors. The proposed method creates a high quality colorized image by inputting the original monochrome image after grayscale adjustment and the flat colored image generated from the scribbles to a colorization network. Experiments show that the colorized results yielded by the proposed method are much better than existing methods.

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References

[1]
Paulina Hensman and Kiyoharu Aizawa. 2017. cGAN-based Manga Colorization Using a Single Training Image. In ICDAR Workshops MANPU. 72–77.
[2]
Yusuke Matsui, Kota Ito, Yuji Aramaki, Azuma Fujimoto, Toru Ogawa, Toshihiko Yamasaki, and Kiyoharu Aizawa. 2017. Sketch-based Manga Retrieval using Manga109 Dataset. Multimedia Tools and Applications 76, 20 (2017), 21811–21838.
[3]
Yugo Shimizu, Ryosuke Furuta, Delong Ouyang, Yukinobu Taniguchiand Ryota Hinami, and Shonosuke Ishiwatari. 2021. Painting Style-Aware Manga Colorization Based on Generative Adversarial Networks. In International Conference on Image Processing.
[4]
Luc Vincent and Pierre Soille. 1991. Watersheds in digital spaces: an efficient algorithm based on immersion simulations. IEEE TPAMI 13, 6 (1991), 583–598.
[5]
Lvmin Zhang, Chengze Li, Tien-Tsin Wong, Yi Ji, and Chunping Liu. 2018. Two-stage Sketch Colorization. ACM Transactions on Graphics 37, 6 (2018), 1–14.

Cited By

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  • (2022)A Novel System for Automated Coloring of Neat Sketches2022 4th International Conference on Energy, Power and Environment (ICEPE)10.1109/ICEPE55035.2022.9798288(1-6)Online publication date: 29-Apr-2022

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Published In

cover image ACM Conferences
SA '21 Posters: SIGGRAPH Asia 2021 Posters
December 2021
87 pages
ISBN:9781450386876
DOI:10.1145/3476124
  • Editors:
  • Shuzo John Shiota,
  • Ayumi Kimura,
  • Wan-Chun Alex Ma
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 December 2021

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  • Poster
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  • Refereed limited

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SA '21
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SA '21: SIGGRAPH Asia 2021
December 14 - 17, 2021
Tokyo, Japan

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Overall Acceptance Rate 178 of 869 submissions, 20%

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Cited By

View all
  • (2022)A Novel System for Automated Coloring of Neat Sketches2022 4th International Conference on Energy, Power and Environment (ICEPE)10.1109/ICEPE55035.2022.9798288(1-6)Online publication date: 29-Apr-2022

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