Ulta Magnificence AI Helps Customers Attempt New Hairstyles



Customers pondering a brand new coiffure can now strive types earlier than committing to curls or a brand new coloration. An AI app by Ulta Magnificence, the most important specialty magnificence retailer within the U.S., makes use of selfies to point out near-instant, extremely lifelike previews of desired hairstyles.

GLAMlab Hair Attempt On is a digital expertise that lets customers take a photograph, add a headshot or use a mannequin’s image to experiment with completely different hair colours and types. Utilized by hundreds of internet and cell app customers each day, the expertise is powered by the NVIDIA StyleGAN2 generative AI mannequin.

Hair coloration try-ons characteristic hyperlinks to Ulta Magnificence merchandise so consumers can obtain the look in actual life. The corporate, which has greater than 1,400 shops throughout the U.S., has discovered that individuals who use the digital instrument usually tend to buy a product than those that don’t.

“Customers have to check out hair and make-up types earlier than they buy,” mentioned Juan Cardelino, director of the pc imaginative and prescient and digital innovation division at Ulta Magnificence. “As one of many first cosmetics firms to combine make-up testers in shops, providing try-ons is a part of Ulta Magnificence’s DNA — whether or not in bodily or digital retail environments.”

Including Ulta Magnificence’s Aptitude to StyleGAN2

GLAMlab is Ulta Magnificence’s first generative AI software, developed by its digital innovation workforce.

To construct its AI pipeline, the workforce turned to StyleGAN2, a style-based neural community structure for generative adversarial networks, aka GANs. StyleGAN2, developed by NVIDIA Analysis, makes use of switch studying to generate infinite photographs in quite a lot of types.

“StyleGAN2 is likely one of the most well-regarded fashions within the tech neighborhood, and, because the supply code was accessible for experimentation, it was the appropriate alternative for our software,” Cardelino mentioned. “For our coiffure try-on use case, we needed to license the mannequin for industrial use, retrain it and put guardrails round it to make sure the AI was solely modifying pixels associated to hair — not distorting any characteristic of the consumer’s face.”

Out there on the Ulta Magnificence web site and cell app, the hair color and style try-ons depend on NVIDIA Tensor Core GPUs within the cloud to run AI inference, which takes round 5 seconds to compute the primary fashion and a couple of second every for subsequent types.

The corporate subsequent plans to include digital trials for extra hair classes like wigs and is exploring how the digital coiffure try-ons could possibly be linked to in-store styling providers.

“Stylists may use the instrument to point out our friends how sure hairstyles will look on them, giving them extra confidence to strive new appears,” Cardelino mentioned.

Past giving prospects a brand new method to work together with Ulta Magnificence’s merchandise, these AI-powered digital try-ons give customers an opportunity to be inventive and discover new potentialities for his or her private types.

“Hair and make-up are playful classes,” Cardelino mentioned. “Digital try-ons are a method to discover choices that could be out of a buyer’s consolation zone without having to decide to a bodily change.”

See the newest work from NVIDIA Analysis, which has a whole bunch of scientists and engineers worldwide, with groups centered on subjects together with AI, laptop graphics, laptop imaginative and prescient, self-driving vehicles and robotics.



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