Intelligent Inspiration Image Generation Platform for Fashion Design
In this project, we propose to design and develop an intelligent inspiration image generation platform (I3GP) to support fashion product development. The proposed platform uses artificial intelligence (AI)-powered fashion image generation (FIG) technology to support the virtual interactive discussion among the internal and external participants involving in the fashion product development (e.g., fashion merchandisers, fashion product designers, and buyers) via video conferencing or face-to-face meeting. I3GP can generate numerous new fashion design images that users can modify according to specific parameters (e.g., pattern, collar, and season) and predict the design popularity. Users can also automatically record meeting notes with the relevant images during virtual discussion to support fashion product development.
Generative Adversarial Networks (GAN) is a recent advance in artificial intelligence (AI)-powered technologies used for generating new (non-existent) objects. It can provide the opportunity to realise fashion design through AI. This project aims to extend the use of GAN to fashion industry, facilitating digital transformation of the industry by leveraging AI technology.
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