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
Kapitola resp. kapitoly v odborné knize
Field of Study
60500 6.5 Other Humanities and the Arts
Country of publisher
Switzerland
Confidentiality degree
není předmětem státního či obchodního tajemství
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: 1/1/2025 07:26