A Study of Midjourney-based Artificial Intelligence in Clothing Design Innovation

Shaoqin Pan (), Yanhong Ma () and Zhenghan Chen ()
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Shaoqin Pan: Guangdong University of Science and Technology, School of Art and Design
Yanhong Ma: Guangdong Xinhua University, School of Art Design and Media
Zhenghan Chen: Guangdong University of Science and Technology, School of Art and Design

A chapter in Proceedings of the 2024 9th International Conference on Social Sciences and Economic Development (ICSSED 2024), 2024, pp 689-702 from Springer

Abstract: Abstract This research delves into the application of Midjourney AI technology in Clothing design and its specific impact on design efficiency and innovation. Using experimental design and questionnaire methods, this research compares and analyses the differences between applying the Midjourney technique and the traditional design process. The research found that Midjourney technology significantly improves design efficiency and reduces design cycles while promoting innovative thinking. The questionnaire results show that the vast majority of Clothing design professionals have a positive attitude towards the designs created using the technology. Despite the challenges of technology dependency and the convergence of traditional design methods, the use of Midjourney technology in Clothing design shows significant potential. It offers an innovative path for the industry.

Keywords: Artificial Intelligence; Clothing Design; Midjourney; Design Efficiency; Innovation; Market Applicability (search for similar items in EconPapers)
Date: 2024
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DOI: 10.2991/978-94-6463-459-4_78

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