Virtually try on dresses with Google’s AI

Google introduces an AI-powered tool for virtual dress fitting, offering a more precise shopping experience.

Google has launched a new feature allowing users to virtually try on dresses while shopping online. Powered by generative AI, this tool enables shoppers to see how various styles fit on a diverse range of models.

This AI-driven tool is designed to overcome challenges related to intricate details and garment coverage, providing realistic dress images directly in Google Search.

Now, you can virtually try on dresses from hundreds of brands, including SIMKHAI, Boden, Staud, Sandro, and Maje.

Shopping online without surprises

Online shopping can be fun but also risky when it comes to finding the right fit. Last year, Google introduced a virtual try-on feature for tops, allowing users to see every detail, from shadows to fabric folds.

This feature has proven effective, leading to a 60% increase in high-quality image views on Google. Now, this functionality has been expanded to dresses, one of the most searched apparel categories.

How the virtual try-on works

The new virtual try-on tool is easy to use. If you’re in the U.S., simply search for a dress on Google and click on any style with a “try on” badge.

You’ll be able to see how the dress looks on a wide range of models, with sizes from XXS to XXXL. You can choose a model that best represents your body type to get a better sense of how the dress will fit.

The technology behind the tool

This innovative tool is made possible through a generative AI technique known as diffusion, which generates pixels from scratch to create realistic images of dresses on models.

To adapt this for dresses, which are more complex than tops, Google developed a “progressive training strategy” that gradually enhances image resolution.

Additionally, Google introduced the VTO-UDiT technique, which preserves the body’s details, offering an accurate portrayal of both the dress and the person wearing it.

Try dresses straight from the runway

With fall approaching, hundreds of brands are showcasing their collections in New York. Following SIMKHAI’s runway show, users can virtually try on select dresses from the collection and pre-order them directly from the brand’s website.

While New York Fashion Week takes center stage, the virtual try-on tool will allow you to try on dresses and tops from hundreds of brands across the web.

What do you think? Share your thoughts in the comments below!

Questions and answers

What is Google’s virtual try-on for dresses?
The virtual try-on feature allows you to see how dresses will fit on models of various sizes using artificial intelligence.

How does the virtual try-on work?
Simply search for a dress on Google and click on one with the “try on” badge. You can select a model from different sizes to see how the dress will look.

In which countries is this feature available?
Currently, the virtual try-on feature is only available in the United States.

Which brands participate in the virtual try-on?
Hundreds of brands are participating, including SIMKHAI, Boden, Staud, Sandro, and Maje.

Can I try on other clothing items besides dresses?
Yes, last year Google launched this feature for tops, and now it’s also available for dresses.

Does the virtual try-on work on mobile devices?
Yes, the feature is available on both mobile and desktop devices.

How does Google create realistic images of dresses on models?
Google uses an innovative artificial intelligence technology called diffusion to generate realistic images.

Is the virtual try-on 100% accurate?
While the technology is highly advanced, the virtual try-on offers an accurate representation but may not perfectly reflect every physical detail.

Can I purchase dresses directly after trying them on virtually?
Yes, once you’ve selected a dress, you can click the link to be redirected to the retailer’s website to purchase it.

How often does Google add new brands or clothing items?
Google regularly updates the available brands and adds new clothing items based on collaborations and seasons.