| Paper Abstract and Keywords |
| Presentation |
2022-03-08 13:16
Semi-automatic Manga Colorization Using Flat Colored Images
Yugo Shimizu (TUS), Ryosuke Furuta (UTokyo), Delong Ouyang, Yukinobu Taniguchi (TUS), Ryota Hinami, Shonosuke Ishiwatari (Mantra) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
To create color comics, manual colorization process is required, which incurs high labor costs. To solve the problem, we previously proposed a semi-automatic colorization method by inputting a pair of a screen-tones image and a flat-colored image. Although this approach can reduce the cost, it still requires manual preparation of flat-colored images. Thus, in this paper, we propose a method to automatically create screen-tones images and flat-colored images from color illustrations on the Internet. Experiments show that the colorization network can be adequately trained with the dataset automatically created by the proposed method although the colorization accuracy is slightly lower than that of manually prepared training data. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
GAN / cGAN / Manga Colorization / Machine Learning / / / / |
| Reference Info. |
ITE Tech. Rep., vol. 46, pp. 115-118, March 2022. |
| Paper # |
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| Date of Issue |
2022-03-01 (AIT) |
| ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
| Download PDF |
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| Conference Information |
| Committee |
AIT IIEEJ AS CG-ARTS |
| Conference Date |
2022-03-08 - 2022-03-08 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Online |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Expressive Japan 2022 |
| Paper Information |
| Registration To |
IIEEJ |
| Conference Code |
2022-03-AIT-IIEEJ-AS-ARTS |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Semi-automatic Manga Colorization Using Flat Colored Images |
| Sub Title (in English) |
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| Keyword(1) |
GAN |
| Keyword(2) |
cGAN |
| Keyword(3) |
Manga Colorization |
| Keyword(4) |
Machine Learning |
| Keyword(5) |
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| 1st Author's Name |
Yugo Shimizu |
| 1st Author's Affiliation |
Tokyo University of Science (TUS) |
| 2nd Author's Name |
Ryosuke Furuta |
| 2nd Author's Affiliation |
The University of Tokyo (UTokyo) |
| 3rd Author's Name |
Delong Ouyang |
| 3rd Author's Affiliation |
Tokyo University of Science (TUS) |
| 4th Author's Name |
Yukinobu Taniguchi |
| 4th Author's Affiliation |
Tokyo University of Science (TUS) |
| 5th Author's Name |
Ryota Hinami |
| 5th Author's Affiliation |
Mantra Inc. (Mantra) |
| 6th Author's Name |
Shonosuke Ishiwatari |
| 6th Author's Affiliation |
Mantra Inc. (Mantra) |
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| Speaker |
Author-1 |
| Date Time |
2022-03-08 13:16:00 |
| Presentation Time |
12 minutes |
| Registration for |
IIEEJ |
| Paper # |
AIT2022-67 |
| Volume (vol) |
vol.46 |
| Number (no) |
no.10 |
| Page |
pp.115-118 |
| #Pages |
4 |
| Date of Issue |
2022-03-01 (AIT) |