Generation and Extraction of Color Palettes with Adversarial Variational Auto-Encoders

Ahmad Moussa; Hiroshi Watanabe

doi:10.1007/978-981-16-2380-6_78

Generation and Extraction of Color Palettes with Adversarial Variational Auto-Encoders

Ahmad Moussa^*, Hiroshi Watanabe

^*この研究の対応する著者

基幹理工学部

研究成果: Conference contribution

抄録

The process of creating a meaningful and perceptually pleasing color palette is an incredibly difficult task for the inexperienced practitioner. In this paper we show that the Variational Auto Encoder can be a powerful creative tool for the generation of novel color palettes as well as their extraction from visual mediums. Our proposed model is capable of extracting meaningful color palettes from images, and simultaneously learns an internal representation which allows for the sampling of novel color palettes without any additional input.

本文言語	English
ホスト出版物のタイトル	Proceedings of 6th International Congress on Information and Communication Technology, ICICT 2021
編集者	Xin-She Yang, Simon Sherratt, Nilanjan Dey, Amit Joshi
出版社	Springer Science and Business Media Deutschland GmbH
ページ	889-897
ページ数	9
ISBN（印刷版）	9789811623790
DOI	https://doi.org/10.1007/978-981-16-2380-6_78
出版ステータス	Published - 2022
イベント	6th International Congress on Information and Communication Technology, ICICT 2021 - Virtual, Online 継続期間: 2021 2月 25 → 2021 2月 26

出版物シリーズ

名前	Lecture Notes in Networks and Systems
巻	236
ISSN（印刷版）	2367-3370
ISSN（電子版）	2367-3389

Conference

Conference	6th International Congress on Information and Communication Technology, ICICT 2021
City	Virtual, Online
Period	21/2/25 → 21/2/26

ASJC Scopus subject areas

制御およびシステム工学
信号処理
コンピュータネットワークおよび通信

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10.1007/978-981-16-2380-6_78

他のファイルとリンク

引用スタイル

Moussa, A., & Watanabe, H. (2022). Generation and Extraction of Color Palettes with Adversarial Variational Auto-Encoders. In X-S. Yang, S. Sherratt, N. Dey, & A. Joshi (Eds.), Proceedings of 6th International Congress on Information and Communication Technology, ICICT 2021 (pp. 889-897). (Lecture Notes in Networks and Systems; Vol. 236). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-16-2380-6_78

Generation and Extraction of Color Palettes with Adversarial Variational Auto-Encoders. / Moussa, Ahmad; Watanabe, Hiroshi.
Proceedings of 6th International Congress on Information and Communication Technology, ICICT 2021. ed. / Xin-She Yang; Simon Sherratt; Nilanjan Dey; Amit Joshi. Springer Science and Business Media Deutschland GmbH, 2022. p. 889-897 (Lecture Notes in Networks and Systems; Vol. 236).

研究成果: Conference contribution

Moussa, A & Watanabe, H 2022, Generation and Extraction of Color Palettes with Adversarial Variational Auto-Encoders. in X-S Yang, S Sherratt, N Dey & A Joshi (eds), Proceedings of 6th International Congress on Information and Communication Technology, ICICT 2021. Lecture Notes in Networks and Systems, vol. 236, Springer Science and Business Media Deutschland GmbH, pp. 889-897, 6th International Congress on Information and Communication Technology, ICICT 2021, Virtual, Online, 21/2/25. https://doi.org/10.1007/978-981-16-2380-6_78

Moussa A, Watanabe H. Generation and Extraction of Color Palettes with Adversarial Variational Auto-Encoders. In Yang X-S, Sherratt S, Dey N, Joshi A, editors, Proceedings of 6th International Congress on Information and Communication Technology, ICICT 2021. Springer Science and Business Media Deutschland GmbH. 2022. p. 889-897. (Lecture Notes in Networks and Systems). doi: 10.1007/978-981-16-2380-6_78

Moussa, Ahmad ; Watanabe, Hiroshi. / Generation and Extraction of Color Palettes with Adversarial Variational Auto-Encoders. Proceedings of 6th International Congress on Information and Communication Technology, ICICT 2021. editor / Xin-She Yang ; Simon Sherratt ; Nilanjan Dey ; Amit Joshi. Springer Science and Business Media Deutschland GmbH, 2022. pp. 889-897 (Lecture Notes in Networks and Systems).

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Generation and Extraction of Color Palettes with Adversarial Variational Auto-Encoders

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出版物シリーズ

Conference

ASJC Scopus subject areas

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