Fit to perfection: Now AI fashion designer can create outfits based on your choice | fashion and trends | Hindustan Times
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Fit to perfection: Now AI fashion designer can create outfits based on your choice

The system, developed by researchers at the University of California San Diego in the US, aimed to test how well tools from artificial intelligence (AI) and machine learning can help the fashion industry and consumers.

fashion and trends Updated: Nov 29, 2017 15:42 IST
Press Trust of India, Los Angeles
Artificial Intelligence,Fashion,Fashion Designer
Scientists have developed an artificial intelligence ‘fashion designer’ that can create custom apparel designs based on a person’s preferences.(Shutterstock)

Clothes to suit every mood. Scientists have developed an artificial intelligence ‘fashion designer’ that can create custom apparel designs based on a person’s preferences. The system, developed by researchers at the University of California San Diego in the US, aimed to test how well tools from artificial intelligence (AI) and machine learning can help the fashion industry and consumers.

While there are many algorithms and tools to help online retailers recommend designs to potential buyers, team wanted to see if it would be possible to crunch preference and other data to make recommendations, and enable computers to produce custom clothing designs.

“We show that our model can be used generatively, ie given a user and a product category, we can generate new images (in this case clothing items) that are most consistent with the user’s personal taste,” said Wang-Cheng Kang, PhD student at UC San Diego.

“This represents a first step toward building systems that go beyond recommending existing items from a product corpus, to suggesting styles and helping to design new products,” said Kang. Researchers focused on devising a system to create better recommendations, particularly in the case of ‘visual’ recommendations, where consumers can be swayed by how the product looks, as in the case of fashion apparel or artworks.

“This suggests a new type of recommendation approach that can be used for recommendation, production and design,” said Julian McAuley, professor at UC San Diego. “These frameworks can lead to richer forms of recommendation, where content recommendation and content generation are more closely linked,” said McAuley.

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First Published: Nov 29, 2017 15:42 IST