| アイテムタイプ |
学術雑誌論文 / Journal Article(1) |
| 公開日 |
2025-07-08 |
| タイトル |
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タイトル |
Continual few-shot patch-based learning for anime-style colorization |
| 言語 |
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言語 |
eng |
| キーワード |
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主題Scheme |
Other |
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主題 |
anime |
| キーワード |
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主題Scheme |
Other |
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主題 |
colorization |
| キーワード |
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主題Scheme |
Other |
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主題 |
few-shot learning |
| キーワード |
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主題Scheme |
Other |
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主題 |
continuous learning strategy |
| 資源タイプ |
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資源タイプ |
journal article |
| アクセス権 |
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アクセス権 |
open access |
| 著者 |
Maejima, Akinobu
Shinagawa, Seitaro
Kubo, Hiroyuki
舩冨, 卓哉
Yotsukura, Tatsuo
中村 哲
向川, 康博
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| 抄録 |
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内容記述タイプ |
Abstract |
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内容記述 |
The automatic colorization of anime line drawings is a challenging problem in production pipelines. Recent advances in deep neural networks have addressed this problem; however, collectingmany images of colorization targets in novel anime work before the colorization process starts leads to chicken-and-egg problems and has become an obstacle to using them in production pipelines. To overcome this obstacle, we propose a new patch-based learning method for few-shot anime-style colorization. The learning method adopts an efficient patch sampling technique with position embedding according to the characteristics of anime line drawings. We also present a continuous learning strategy that continuously updates our colorization model using new samples colorized by human artists. The advantage of our method is that it can learn our colorization model from scratch or pre-trained weights using only a few pre- and post-colorized line drawings that are created by artists in their usual colorization work. Therefore, our method can be easily incorporated within existing production pipelines. We quantitatively demonstrate that our colorizationmethod outperforms state-of-the-art methods. |
| 書誌情報 |
en : Computational Visual Media
巻 10,
号 4,
p. 705-723,
発行日 2024-08-01
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| 出版者 |
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出版者 |
Springer |
| ISSN |
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収録物識別子タイプ |
EISSN |
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収録物識別子 |
2096-0662 |
| 出版者版DOI |
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関連タイプ |
isReplacedBy |
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識別子タイプ |
DOI |
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関連識別子 |
https://doi.org/10.1007/s41095-024-0414-4 |
| 出版者版URI |
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関連タイプ |
isReplacedBy |
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識別子タイプ |
URI |
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関連識別子 |
https://link.springer.com/article/10.1007/s41095-024-0414-4 |
| 権利 |
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権利情報Resource |
https://creativecommons.org/licenses/by/4.0/ |
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権利情報 |
$00A9 The Author(s) 2024. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
| 著者版フラグ |
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出版タイプ |
NA |
