The star of Levi's new campaign looks like any other model . Her tousled hair hangs over her shouldersas she gazes into the camera with that far-off high-fashion stare. But look closer, and something starts to seem a little off. The shadow between her chin and neck looks muddled, like a bad attempt at using FaceTune's eraser effect to hide a double chin. Her French manicured fingernails appear scrubbed clean and uniform in a creepy real doll kind of way.

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 approach that aims to identify small adjustments to outfits that might have an outsized impact on fashionability. It brings to mind Amazon's Echo Look, 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.