Abstract
AbstractWith the recent expansion of the applicability of artificial intelligence into the creative realm, attempts are being made to use AI (artificial intelligence) in the garment development system in various ways, both in academia and the fashion business. Several IT companies have developed and possess AI-based garment design technologies that utilize StyleGAN2 for image transformation. However, they are not widely utilized in the fashion business. Since fashion brands need to create numerous designs to launch new garment products for at least two seasons per year, the adoption of AI-based garment design generation technology can be one way to increase work efficiency. Therefore, this research aims to collect and analyze existing cases of AI-based garment design tools in order to identify the similarities and differences between the garment development processes of human designers and the existing AI-based garment design tools. Based on this analysis, the research aims to develop an AI-based garment development system that takes into consideration the garment development process of human designers, incorporating fashion domain knowledge.
Funder
Institute of Information & Communications Technology Planning & Evaluation
Publisher
Springer Science and Business Media LLC
Subject
Marketing,Strategy and Management,Materials Science (miscellaneous),Cultural Studies,Social Psychology
Reference69 articles.
1. Akata, Z., Perronnin, F., Harchaoui, Z., & Schmid, C. (2013). Label-embedding for attribute-based classification. Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR) (pp. 819–826).
2. An, H., Lee, G, Y., Choi, Y., & Park, M. (2023). Conceptual framework of hybrid style in fashion image datasets for machine learning. Fashion and Textiles, 10, 18.
3. Anantrasirichai, N., & Bull, D. (2021). Artificial intelligence in the creative industries: A review. Artificial Intelligence Review, 55, 589–656. https://doi.org/10.1007/s10462-021-10039-7
4. Ay, B., Aydın, G., Koyun, Z., & Demir, M. (2019). A visual similarity recommendation system using generative adversarial networks. In 2019 international conference on deep learning and machine learning in emerging applications (Deep-ML) (pp. 44–48). IEEE. https://doi.org/10.1109/Deep-ML.2019.00017
5. Blaazer, E. (2022, November 21). This is how a fashion brand's collection is created. Fashion United. Retrieved June 9, 2023 from https://fashionunited.com/news/background/this-is-how-a-fashion-brand-s-collection-is-created/2022112150798
Cited by
8 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