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Conference presentation: Aesthetics and DALL-E 1-3: Bibliometric Analysis of Papers Published in 2021-2024

ZELENÝ, Jiří

Basic information

Original name

Conference presentation: Aesthetics and DALL-E 1-3: Bibliometric Analysis of Papers Published in 2021-2024

Authors

Edition

2nd International Conference on Science, Engineering and Advanced Technology (ICSEAT 2024), 2024

Other information

Language

English

Type of outcome

Presentations at conferences

Field of Study

60402 Architectural design

Country of publisher

Bahrain

Confidentiality degree

is not subject to a state or trade secret

References:

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
Changed: 15/5/2024 00:59, Ing. Jiří Zelený, Ph.D.

Abstract

V originále

The aesthetic aspect of the outputs of image-generative AI models can be consid-ered elementary arbitrary criteria when evaluating output quality and model effec-tiveness. 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.