TL;DR
- Google’s virtual try-on feature now supports women’s dresses from multiple brands.
- The feature uses generative AI to create an image of a model wearing the dress.
- It offers support for a diverse selection of models, allowing you to see how a dress would look on a person who has a similar body type.
Google introduced a new AI-powered shopping tool in Search last year, allowing users to see how a particular piece of clothing would look on a person with their body type. The virtual try-on feature debuted with support for women’s tops from multiple brands, and Google is now expanding it to support dresses.
Shoppers in the US will now see a “try on” badge when searching for dresses on Google. Selecting a dress with the badge will open the virtual try-on UI, featuring a carousel with a diverse selection of models ranging from sizes XXS-XXXL. Users can then select a model that closely matches their body type to get a better idea of how the dress looks before placing an order.
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Google says that it had to overcome multiple challenges to add support for dresses. It couldn’t simply use the same diffusion-based AI model it used for tops, as dresses “are often more detailed than a simple top in their draping, silhouette, length, or shape — and include everything from midi-length halters to mini shifts to maxi drop waists — plus everything in between.”
Researchers at Google developed a progressive training strategy to accurately recreate fine details, like pleats and prints, in the previews. They also came up with a new technique called VTO-UNet Diffusion Transformer (VTO-UDiT), which “isolates and preserves a person’s important features” in the generated image. You can check out the resulting images for yourself by searching for dresses from brands like Simkhai, Boden, Staud, Sandro, and Maje on Google.