Generative Ai in Fashion: a Survey and Cgan Framework for Saree Blouse Design

The paper presented a comprehensive literature survey on the transformative applications of generative AI across domains such as data augmentation, education, fashion, and medical documentation. The paper went through different research studies to see how generative techniques had improved. These methods showed up in many areas, like making custom learning tools, generating datasets, and designing sustainable fashion. The review pointed out some common issues, trends, and takeaways, like the need for ethical guidelines, better datasets, and more efficient computing. The paper brought forward the idea for a Conditional Generative Adversarial Network (cGAN) model with special emphasis on the fashion industry, to generate saree blouse designs. These improvements aimed to address gaps identified in existing studies to lay the foundations for more ethical, inclusive, and sustainable applications of generative AI.