People turn to many different sources for clothing style advice, from magazines to best friends to Instagram. Soon, though, you may be able to ask your smartphone.
A University of Texas at Austin computer science team, in partnership with researchers from Cornell Tech, Georgia Tech and Facebook AI Research, has developed an artificial intelligence system that can look at a photo of an outfit and suggest helpful tips to make it more fashionable. Suggestions may include tweaks such as selecting a sleeveless top or a longer jacket.
“We thought of it like a friend giving you feedback,” said Kristen Grauman, a professor of computer science whose previous research has largely focused on visual recognition for artificial intelligence. “It’s also motivated by a practical idea: that we can work with a given outfit to make small changes so it’s just a bit better.”
The tool, named Fashion++, uses visual recognition systems to analyze the color, pattern, texture and shape of garments in an image. It considers where edits will have the most impact. It then offers several alternative outfits to the user.
Fashion++ was trained using more than 10,000 images of outfits shared publicly on online sites for fashion enthusiasts.
News Source: Eurekalert
