Artificial intelligence might just spawn a whole new style trend: call it “predictive fashion.” In a paper published on the ArXiv, researchers from the University of California, San Diego, and Adobe have outlined a way for AI to not only learn a person’s style but create computer-generated images of items that match that style. The system could let retailers create personalized pieces of clothing, or could even be used to help predict broader fashion trends.
Misha Nonoo was once your typical prestigious, lovely, small-to-medium-sized designer fashion brand—the sort celebrities and critics often adore. It made seasonal collections. It staged expensive, well-received runway shows at New York Fashion Week. It sold wholesale to upscale retailers such as Bergdorf Goodman, Neiman Marcus, and Shopbop.
Misha Nonoo the designer has since taken a giant risk, and ditched that model entirely.
This article addresses the question of the possibility of achieving computational creativity through some examples of computer programs capable of replicating some aspects of creative behavior in the fields of music and visual arts. The reason for focusing on these artistic fields is that they are by far the ones in which there is more activity and where the results obtained are most impressive.