Given an outfit pieced together from a limitless wardrobe, what nips and tucks might improve its overall stylishness? That’s the question researchers at Cornell, Georgia Tech, and Facebook AI Research recently investigated in a research paper published on the preprint server Arxiv.org. In it, they describe an that aims to identify small adjustments to outfits that might have an outsized impact on fashionability.
It brings to mind Amazon’s , a connected camera that combines human and machine intelligence to recommend styles, color-filter clothes, compare two outfits, and keep track of what’s in personal wardrobes. But the researchers assert their techniques are more sophisticated than most.
“The elegant Coco Chanel’s famous words advocate for making small changes with large impact on fashionability. Whether removing an accessory,