Key Takeaways:
- Google expands its virtual try-on (VTO) tool to include dresses in the U.S.
- The AI-powered tool uses generative AI for realistic dress visualizations.
- Users can try on dresses via Google Search with a “try-on” badge.
- The tool supports models in sizes XXS to XXXL for better accuracy.
- Fashion brands like SIMKHAI and Boden are participating.
- It aims to reduce return rates and improve customer confidence.
Google has recently expanded its AI-powered virtual try-on (VTO) feature to include dresses, adding a new dimension to its already successful shopping tool.
Initially introduced for tops, this new feature allows users to visualize how dresses will look and fit on different body types, offering a more immersive online shopping experience.
The update, now available in the United States, promises to bridge the gap between in-store and online shopping by providing a realistic view of clothing on diverse body shapes.
Our new virtual try-on feature uses a technique called diffusion to show you what clothes look like on a wide range of people. Learn more about the tech that’s making it easier for you to get a better sense of what clothes will look like on you → https://t.co/MbhscWYUml pic.twitter.com/F6pWCXmFER
— Google (@Google) June 15, 2023
The VTO feature is powered by generative AI and diffusion-based technology, offering high-quality visual representations of dresses on real models.
The models, available in sizes ranging from XXS to XXXL, provide a realistic view of how a dress will drape, accounting for intricate details such as fabric creases, pleats, and shadows.
This technology helps to accurately depict how dresses fit and flow, ensuring a more detailed and practical preview compared to tops. Dresses present a unique challenge due to their complexity and coverage, requiring more sophisticated rendering techniques.
To tackle this, Google has implemented a “progressive training strategy,” which refines lower-resolution images into detailed, high-resolution renderings.
The integration of the VTO-UNet Diffusion Transformer (VTO-UDiT) ensures that the model’s features remain intact while virtually overlaying the dress, offering an accurate and seamless virtual try-on experience.
The VTO feature is integrated into Google Search, making it easily accessible. Users can search for dresses, and those marked with the “try-on” badge will offer the virtual try-on option.
Shoppers can view these items on models that match their body type, ensuring a more personalized shopping experience. Major fashion brands, including SIMKHAI, Boden, Staud, Sandro, and Maje, have partnered with Google to make their collections available through this tool.
Notably, Google has collaborated with SIMKHAI to allow customers to try on and pre-order select dresses directly from the runway of New York Fashion Week, offering a cutting-edge shopping experience that blends fashion and technology.
One of the key advantages of this AI-powered tool is its potential to reduce the high return rates that online fashion retailers face. By providing a more accurate visualization of how garments fit, consumers are more likely to make informed decisions, reducing the likelihood of returns due to poor fit or style mismatch.
This enhanced visualization also increases customer confidence, encouraging more direct purchases from online platforms. Google’s expansion of its virtual try-on tool into dresses represents a significant step towards the future of AI-driven fashion retail.
As the fashion industry continues to adopt technology to meet consumer demands, Google’s tool is setting a new standard for personalized and interactive shopping experiences.
By incorporating this technology, Google is addressing long-standing challenges in online apparel shopping and positioning itself at the forefront of AI innovation in fashion.
This move signals the broader shift in retail towards more immersive, user-centric online shopping experiences, potentially reshaping how consumers engage with fashion in the digital age.
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