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@proceedings{34925, author = {Zelený, Jiří}, booktitle = {2nd International Conference on Science, Engineering and Advanced Technology (ICSEAT 2024)}, keywords = {architecture; art; artificial intelligence; design; Google Scholar; OpenAI; Web of Science}, language = {eng}, title = {Conference presentation: Aesthetics and DALL-E 1-3: Bibliometric Analysis of Papers Published in 2021-2024}, url = {https://icseat.gulfuniversity.edu.bh/}, year = {2024} }
TY - CONF ID - 34925 AU - Zelený, Jiří PY - 2024 TI - Conference presentation: Aesthetics and DALL-E 1-3: Bibliometric Analysis of Papers Published in 2021-2024 KW - architecture KW - art KW - artificial intelligence KW - design KW - Google Scholar KW - OpenAI KW - Web of Science UR - https://icseat.gulfuniversity.edu.bh/ N2 - 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. ER -
ZELENÝ, Jiří. Conference presentation: Aesthetics and DALL-E 1-3: Bibliometric Analysis of Papers Published in 2021-2024. In \textit{2nd International Conference on Science, Engineering and Advanced Technology (ICSEAT 2024)}. 2024.
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