Exploring The Intersection Of Artificial Intelligence And Fashion Design: A Comprehensive Review
Exploring The Intersection Of Artificial Intelligence And Fashion Design: A Comprehensive Review
Vol 8 , Issue 1 , December 2023 | Pages: 64-68
DOI: 10.61691/IPEM_CA.8.2023.64-68
Published Online: December, 2023
- Author Affiliations
- Abstract
- References
- Citation
Author Details
The incorporation of Artificial Intelligence (AI) into fashion design has transformed traditional methodologies, providing new insights, efficiency, and creative opportunities. This paper provides a detailed analysis of recent advances and uses of AI approaches in various aspects of fashion design. The study investigates how AI methods such as machine learning, computer vision, natural language processing, and generative models have been used to simplify and reinvent various stages of the fashion design process. It looks into AI-powered solutions for trend forecasting, fabric selection, garment design, virtual try-on experiences, personalised advice, and sustainable practices in the fashion sector. In addition, the article analyses the problems and potential connected with the implementation of AI in fashion design, including concerns about data protection, bias mitigation, andthe protection of human creativity. It looks at successful case studies and identifies new patterns that reflect thechanging landscape of AI-driven fashion design. Through this review, we hope to give scholars, practitioners, and enthusiasts with a better knowledge of the synergies between AI and fashion design, inspiring future endeavours and fostering collaborations at the intersection of technology and creative expression.
Keywords
- An, H., Lee, G, Y., Choi, Y., & Park, M. (2023). Conceptualframework of hybrid style in fashion image datasets for machine learning. Fashion and Textiles, 10, 18.
- 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
- Caniato, F., Crippa, L., Pero, M., Sianesi, A., & Spina, G. (2015). Internationalisation and outsourcing of operations and product development in the fashion industry. Production Planning & Control, 26(9), 706–722. https://doi.org/10.1080/09537287.2014.971524
- Cheng, Q., Zhang, Q., Fu, P., Tu, C., & Li, S. (2018). A survey and analysis on automatic image annotation. Pattern Recognition, 79, 242–259. https://doi.org/10.1016/j.patcog.2018.02.017
- Choi, Y. H., Yoon, S., Xuan, B., Lee, S. Y. T., & Lee, K. H. (2021). Fashion informatics of the Big 4 Fashion Weeks using topic modeling and sentiment analysis. Fashion and Textiles, 8, 33. https://doi.org/10.1186/s40691-021-00265-6.
Taruna(2003); Exploring The Intersection Of Artificial Intelligence And Fashion Design: A Comprehensive Review, IPEM JOURNAL OF COMPUTER APPLICATION & RESEARCH, 8(1), 64-68