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Lee, Kyungho
Expressive Computing Lab.
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dc.citation.conferencePlace US -
dc.citation.conferencePlace Seattle, USA -
dc.citation.title IEEE Conference on Computer Vision and Pattern Recognition -
dc.contributor.author Jin, Yu -
dc.contributor.author Lee, Kyungho -
dc.date.accessioned 2024-09-30T13:35:06Z -
dc.date.available 2024-09-30T13:35:06Z -
dc.date.created 2024-09-29 -
dc.date.issued 2024-06-17 -
dc.description.abstract The fashion industry is well known for its ever-changing nature, which results from a variety of factors, includ- ing consumer preferences, cultural shifts, technological ad- vancements, and design trends. To address this, the fashion industry has recently proactively incorporated generative AI into the design process. However, how and why profes- sional fashion designers use generative AIs for ideation and visual exploration has been empirically under-researched. Our research aims to uncover the intricate relationship be- tween designers’ creative inspirations and the outputs gen- erated by Midjourney in particular. Three workshops were carried out with fashion design practitioners. Our findings highlight important aspects of this generative design pro- cess such as how professional fashion designers visually explore the results; decision-making about further iteration for idea development in exploration, and empirical criteria for evaluating the quality of the sketches produced. -
dc.identifier.bibliographicCitation IEEE Conference on Computer Vision and Pattern Recognition -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/83948 -
dc.identifier.url https://sites.google.com/view/cvfad2024/accepted-papers -
dc.language 영어 -
dc.publisher The Computer Vision Foundation -
dc.title.alternative 패션디자인 발상 및 스케치에서의 인간-인공지능 협업 과정에 관한 실증적 탐구 -
dc.title Human-AI Co-Creation in Fashion Design Ideation and Sketching: An Empirical Study -
dc.type Conference Paper -
dc.date.conferenceDate 2024-06-17 -

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