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

^*Corresponding author for this work

School of Fundamental Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

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.

Original language	English
Title of host publication	Proceedings of 6th International Congress on Information and Communication Technology, ICICT 2021
Editors	Xin-She Yang, Simon Sherratt, Nilanjan Dey, Amit Joshi
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	889-897
Number of pages	9
ISBN (Print)	9789811623790
DOIs	https://doi.org/10.1007/978-981-16-2380-6_78
Publication status	Published - 2022
Event	6th International Congress on Information and Communication Technology, ICICT 2021 - Virtual, Online Duration: 2021 Feb 25 → 2021 Feb 26

Publication series

Name	Lecture Notes in Networks and Systems
Volume	236
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

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

Keywords

Color palettes
Generative adversarial networks
Variational auto-encoder

ASJC Scopus subject areas

Control and Systems Engineering
Signal Processing
Computer Networks and Communications

Access to Document

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

Cite this

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).

Research output: Chapter in Book/Report/Conference proceeding › 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

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this