Google Unveils AI Virtual Fitting Room: Try on Clothes Without Leaving Home
In Brief
Google has developed a virtual fitting room that allows users to try on clothes without leaving home, using AI and a generative AI model.
Google’s new AI model uses diffusion to create photorealistic images of people wearing garments, enabling virtual try-on for women’s tops.
Have you ever wished you could try on clothes without stepping foot inside a store? Well, Google has made that dream a reality with its latest innovation: the virtual fitting room. No more guessing how that dress will look on you or whether those jeans will fit just right. Now, you can see yourself dressed in the clothes you want to buy, all from the comfort of your own home.
This technology has been years in the making, with many startups attempting to crack the code. But Google took on the challenge and succeeded. They introduced a novel approach, using a technique called diffusion, where a photo of a person and a photo of the desired clothing are combined to create a realistic representation of the person wearing the clothes.
You can experience this exciting feature directly on Google Shopping. Simply select the item you’re interested in, and with the power of AI, you’ll see yourself wearing it in an instant. It’s like having your own personal virtual wardrobe!
In the past, Google already impressed us with a virtual try-on feature for lipsticks. Now, they’ve taken it to the next level by tackling apparel. Their shopping AI researchers developed a generative AI model that brings clothing to life on real models with different body shapes and sizes. The model pays attention to the intricate details of how clothes drape, fold, cling, stretch, and even wrinkle, resulting in incredibly lifelike portrayals.
The magic behind this new AI model lies in diffusion. Instead of relying on text prompts like previous models, Google’s approach involves using two images: one of the garment and another of a person. These images are fed into neural networks that share information with each other through a process called “cross-attention.” The result is a photorealistic image of the person wearing the selected garment.
To train this AI model, Google leveraged the vast amount of data from its Shopping Graph, which includes information on products, sellers, brands, reviews, and inventory. By using pairs of images featuring people wearing garments in different poses, the model learned to match the shape of the clothes to the person, enabling it to generate realistic images from all angles.
Starting today, virtual try-on for women’s tops is available from various brands, such as Anthropologie, LOFT, H&M, and Everlane. And this is just the beginning. Google plans to refine the tool further, making it even more precise and expanding its availability to include more of your favorite brands.
So, say goodbye to the hassle of traditional fitting rooms and hello to the convenience of the virtual fitting room. With Google’s latest innovation, you can shop for clothes with confidence, knowing exactly how they will look on you. The future of fashion is here, and it’s virtual!
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Damir is the team leader, product manager, and editor at Metaverse Post, covering topics such as AI/ML, AGI, LLMs, Metaverse, and Web3-related fields. His articles attract a massive audience of over a million users every month. He appears to be an expert with 10 years of experience in SEO and digital marketing. Damir has been mentioned in Mashable, Wired, Cointelegraph, The New Yorker, Inside.com, Entrepreneur, BeInCrypto, and other publications. He travels between the UAE, Turkey, Russia, and the CIS as a digital nomad. Damir earned a bachelor's degree in physics, which he believes has given him the critical thinking skills needed to be successful in the ever-changing landscape of the internet.
More articlesDamir is the team leader, product manager, and editor at Metaverse Post, covering topics such as AI/ML, AGI, LLMs, Metaverse, and Web3-related fields. His articles attract a massive audience of over a million users every month. He appears to be an expert with 10 years of experience in SEO and digital marketing. Damir has been mentioned in Mashable, Wired, Cointelegraph, The New Yorker, Inside.com, Entrepreneur, BeInCrypto, and other publications. He travels between the UAE, Turkey, Russia, and the CIS as a digital nomad. Damir earned a bachelor's degree in physics, which he believes has given him the critical thinking skills needed to be successful in the ever-changing landscape of the internet.
