A Study of Midjourney-based Artificial Intelligence in Clothing Design Innovation
- DOI
- 10.2991/978-94-6463-459-4_78How to use a DOI?
- Keywords
- Artificial Intelligence; Clothing Design; Midjourney; Design Efficiency; Innovation; Market Applicability
- 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.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Shaoqin Pan AU - Yanhong Ma AU - Zhenghan Chen PY - 2024 DA - 2024/07/23 TI - A Study of Midjourney-based Artificial Intelligence in Clothing Design Innovation BT - Proceedings of the 2024 9th International Conference on Social Sciences and Economic Development (ICSSED 2024) PB - Atlantis Press SP - 689 EP - 702 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-459-4_78 DO - 10.2991/978-94-6463-459-4_78 ID - Pan2024 ER -