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Navigating the Latent: Exploring the Potentials of Islamic Calligraphy with Generative Adversarial Networks

Sobhan Sarbandi, Arshia (2021) Navigating the Latent: Exploring the Potentials of Islamic Calligraphy with Generative Adversarial Networks. Masters thesis, OCAD University.

Item Type: Thesis
Creators: Sobhan Sarbandi, Arshia
Abstract:

Islamic calligraphy is a substantial cultural element in the countries that share Arabic script. Despite its prevalence and importance, Islamic calligraphy has not significantly benefited from modern technologies, and there are considerable gaps between the affordances of digital tools and the subtle requirements of this domain. This project explores the use of Generative Adversarial Networks (GANs) as an option that can fill the gap between digital tools and fundamental aspects of Islamic calligraphy, and as a new tool that can expand the creative space of artists and designers who use Islamic calligraphy in their works. This study also promotes an informed approach toward using GANs with a focus on domain-specific requirements of Islamic calligraphy. Some of the potentials of using GANs in Islamic calligraphy are depicted through analyzing the results of a GAN trained on a custom-made and regularized dataset of nasta’līq script. The results are also used to make calligraphy pieces with a new mode of expression.

Date: 4 May 2021
Uncontrolled Keywords: GANs, Islamic Calligraphy, Arabic Calligraphy, Digital Calligraphy, Machine Learning, Artificial Intelligence, Generative Adversarial Networks
Divisions: Graduate Studies
Graduate Studies > Digital Futures
Related URLs:
Date Deposited: 05 May 2021 14:35
Last Modified: 02 Aug 2021 08:47
URI: http://openresearch.ocadu.ca/id/eprint/3346

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