Generative Artificial Intelligence Powered Systems in Fashion Design Process

Yıl 2024, Cilt: 5 Sayı: 8, 110 - 122, 28.06.2024

Pınar Göklüberk Özlü , Nihal Ekici Demir

Öz

Researchers have moved data processing methods from traditional bases to artificial intelligence-based systems, due to the increasing volume of data with advancing technology and digitalization. Through these technologies, experts can achieve faster and more precise results in data analysis, making the scientific discovery process more efficient. Fashion, with its vast ecosystem, attracts the attention of researchers due to its ability to achieve rapid and more effective results in studies such as analyzing complex data, pattern recognition, predictability, and productivity enhancement. The aim of this research is to reveal current applications realized through generative artificial intelligence-supported systems within the scope of design processes in the fashion ecosystem and to discuss the uses of these systems in the fashion industry. This study is a literature based on thematic review analysis. In this context, trend forecasting, market analysis, creativity, modeling, textile, and material applications carried out in the fashion design process are discussed. Current studies that adopt deep learning and generative artificial intelligence-based methods in these areas are investigated and system constructs are presented. In addition, popular examples of real-world applications of the systems are included.

Anahtar Kelimeler

Fashion industry, Artificial intelligence, Generative artificial intelligence, Design applications, Digitalization

Moda Tasarımı Sürecinde Üretken Yapay Zekâ Destekli Sistemler

Öz

Araştırmacılar, gelişen teknoloji ve dijitalleşmeyle birlikte artan veri hacmi sayesinde, veri işleme yöntemlerini geleneksel temellerden yapay zekâ temelli sistemlere taşımıştır. Bu teknolojiler sayesinde uzmanlar, veri analizinde daha hızlı ve daha hassas sonuçlara ulaşarak, bilimsel keşif süreçlerini verimli hale getirebilmektedirler. Geniş ekosistemiyle moda alanı, karmaşık verinin analizi, desen tanıma, öngörülebilirlik ve üretkenlik artırma gibi çalışmalarda seri ve daha etkili sonuçlar elde edilebilmesi nedeniyle araştırmacıların dikkatini çekmektedir. Bu araştırmanın amacı, moda ekosistemindeki tasarım süreçleri kapsamında, üretken yapay zekâ destekli sistemler aracılığıyla gerçekleştirilen güncel uygulamaları ortaya koymak ve bu sistemlerin moda sektöründeki kullanımlarını tartışmaktır. Çalışma literatür temelli, tematik derlemeye dayalı analiz çalışmasıdır. Bu kapsamda, moda tasarımı sürecinde yürütülen, trend tahmini, pazar analizi, yaratıcılık, modelleme, tekstil ve malzeme uygulamaları ele alınmıştır. Bu alanlarda derin öğrenme ve üretken yapay zekâ tabanlı yöntemleri benimseyen güncel çalışmalar araştırılarak sistem kurguları sunulmuştur. Ayrıca sistemlerin gerçek dünya uygulamalarından popüler örneklere yer verilmiştir.

Anahtar Kelimeler

Moda endüstrisi, Yapay zekâ, Üretken yapay zekâ, Tasarım uygulamaları, Dijitalleşme

Kaynakça

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