Unlocking the Potential of Artificial Intelligence in Fashion Design and E-Commerce Applications: The Case of Midjourney

Author:

Zhang Yanbo1ORCID,Liu Chuanlan1ORCID

Affiliation:

1. Department of Textile, Apparel Design and Merchandising, Louisiana State University, Baton Rouge, LA 70803, USA

Abstract

The fashion industry has shown increasing interest in applying artificial intelligence (AI), yet there is a significant gap in exploring the potential of emerging diffusion-modeling-based AI image-generation systems for fashion design and commerce. Therefore, this study aims to assess the effectiveness of Midjourney, one such AI system, in both fashion design and related commerce applications. We employed the action research approach with the Functional, Expressive, and Aesthetic (FEA) Consumer Needs Model as the theoretical framework. Our research comprised three stages: refining an initial idea into well-defined textual design concepts, facilitating concept development, and validating the preceding observations and reflections by creating a new line of hemp-based products that were evaluated by targeted consumers through an online survey. Findings reveal that this AI tool can assist fashion designers in creating both visually expressive attire and ready-to-wear products, meeting defined design criteria and consumer needs. Midjourney shows promise in streamlining the fashion design process by enhancing ideation and optimizing design details. Potential e-commercial applications of such AI systems were proposed, benefiting physical and digital fashion businesses. It is noted that, to date, the major limitations of using Midjourney encompass its restriction to only facilitating early fashion design stages and necessitating substantial involvement from designers.

Publisher

MDPI AG

Reference42 articles.

1. Exploring the Benefits and Future of Artificial Intelligence;Boymamatovich;Cent. Asian J. Theor. Appl. Sci.,2023

2. Artificial intelligence as part of future practices in the architect’s work: MidJourney generative tool as part of a process of creating an architectural form;Architectus,2022

3. Machine learning for colour palette extraction from fashion runway images;Lai;Int. J. Fash. Des. Technol. Educ.,2020

4. ‘Just hit a button!’–fashion 4.0 designers as cyborgs, experimenting and designing with generative algorithms;Int. J. Fash. Des. Technol. Educ.,2021

5. Luce, L. (2018). Artificial Intelligence for Fashion: How AI Is Revolutionizing the Fashion Industry, Apress.

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3