C
2024
Aesthetics and DALL-E 1-3: Bibliometric Analysis of Papers Published in 2021–2024
ZELENÝ, Jiří, Dávid MELAS, Anna ULRICHOVÁ, Petr STUDNIČKA, Jan HÁN et. al.
Basic information
Original name
Aesthetics and DALL-E 1-3: Bibliometric Analysis of Papers Published in 2021–2024
Edition
1. vyd. Cham, Switzerland, Innovative and Intelligent Digital Technologies; Towards an Increased Efficiency, p. 763–774, 12 pp. Studies in Systems, Decision and Control, SSDC, volume 564, 2024
Other information
Type of outcome
Chapter(s) of a specialized book
Field of Study
60500 6.5 Other Humanities and the Arts
Country of publisher
Switzerland
Confidentiality degree
is not subject to a state or trade secret
Publication form
electronic version available online
Organization unit
University College Prague – University of International Relations and Institute of Hospitality Management and Economics, Ltd.
Keywords in English
architecture; art; artificial intelligence; design; Google Scholar; OpenAI; Web of Science
Tags
International impact, Reviewed
V originále
The aesthetic aspect of the outputs of image-generative AI models can be considered elementary arbitrary criteria when evaluating output quality and model effectiveness. We processed a bibliometric analysis of a total of 163 papers that were published between 2021 and April 2024 on the topic of aesthetics and the DALL-E 1-3 text-to-image models.
Displayed: 24/3/2025 06:08