virtual try-on feature Google introduces an ingenious AI-powered
Google’s new virtual try-on feature lets shoppers visualize how clothes fit, drape, and fold on various models. With its AI capabilities, Google is transforming the online shopping experience, following its successful launch of the conversational chatbot Google Bard.
Google’s latest update includes a virtual try-on feature utilizing generative AI. Shoppers can now preview clothes on various body types, allowing them to refine their choices until they discover the ideal item. With advanced machine learning and visual matching algorithms, users can easily adjust preferences like color, pattern, and style. Moreover, this feature enables users to explore options from numerous online stores, providing a wide range of choices.
How it work ?
Google’s virtual try-on feature allows shoppers to visualize how clothing items will look on various models, considering factors like draping, stretching, folding, and forming wrinkles and shadows. Additionally, users can easily find complementary clothing pieces in different sizes, styles, or colors. Thanks to its AI-powered visual matching algorithm, this feature encompasses a variety of merchants available across the web.
Google side, our newly developed generative AI model accurately simulates how clothing drapes, folds, clings, stretches, and forms wrinkles and shadows on diverse models. Google carefully selected individuals of different sizes, skin tones, body shapes, ethnicities, and hair types, using the Monk Skin Tone Scale as a reference. By training on image pairs of over 80 models in different poses, the virtual try-on feature leverages AI to generate realistic images from various angles, ensuring an immersive and authentic shopping experience.
Initially, Google’s virtual try-on feature will be available for brands like H&M, Everlane, Anthropology, and more. The company plans to extend the feature to include men’s clothing, particularly shirts, in the future. As time progresses, the tool will continue to improve in accuracy and precision, ensuring an enhanced shopping experience for users, report from
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