Google introduces virtual testing feature that uses new generative AI models to show how clothes look on different people and poses
This feature develops a new generative AI model that generates realistic portraits of clothing.
Create images using image diffusion techniques
The virtual test function uses images of clothing and images of people, which share information with each neural network to generate a picture of a person wearing the clothing (see image).
The feature released this time is limited to women's tops, but men's tops will also be released in the future.
Shows the draping, folds, fit, stretch, wrinkles and shadows of the garment in detail.
Train AI models using Google's Shopping Graph.
Google says clothing is one of the most searched shopping categories
Google seeks to outcompete TikTok and its rivals by evolving into a fashion search engine
Ability to adjust search filters to help users find similar products within their price range
Provides virtual testing capabilities for women's tops across multiple brands
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