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

Authors

ZELENÝ, Jiří, Dávid MELAS, Anna ULRICHOVÁ, Petr STUDNIČKA, Jan HÁN and Michaela VACULÍKOVÁ

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

Publisher

Springer Cham

Other information

Language

English

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

References:

Organization unit

University College Prague – University of International Relations and Institute of Hospitality Management and Economics, Ltd.

ISBN

978-3-031-70398-0

Keywords in English

architecture; art; artificial intelligence; design; Google Scholar; OpenAI; Web of Science

Tags

International impact, Reviewed
Změněno: 28/12/2024 17:58, Ing. Jiří Zelený, Ph.D.

Abstract

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.