Ever wondered how it would be if you could try on clothes virtually, before making a purchase? Google has made this possible with its AI-powered virtual try-on for apparel, which provides a realistic representation of what clothes would look like on different body types and poses, all from the comfort of your home.
Understanding the Technology
Google’s virtual try-on feature uses a generative AI model that deploys a method known as diffusion. This process involves gradually adding extra pixels or “noise” to an image until it becomes unrecognizable, and then removing the noise completely until the original image is reconstructed in perfect quality.
Cross-Attention and Diffusion
Inspired by the text-to-image models like Imagen, Google decided to apply diffusion with a twist for its virtual try-on feature. Rather than using text as input during diffusion, a pair of images are used: one of a garment and another of a person. Each image is sent to its own neural network (a U-net) and shares information with each other in a process called “cross-attention” to generate the output: a photorealistic image of the person wearing the garment.
Training with Google’s Shopping Graph
To ensure the realism and helpfulness of this feature, Google’s AI model underwent rigorous training. This was accomplished using Google’s Shopping Graph, the world’s most extensive dataset of the latest products, sellers, brands, reviews, and inventory. The model was trained using pairs of images, each including a person wearing a garment in two different poses. The AI model learns to match the shape of the shirt in one pose with the person in another pose, until it can generate realistic images of the shirt on that person from all angles. This process was repeated with millions of random image pairs of different garments and people.
The Future of Online Shopping
With the launch of the virtual try-on feature, customers can now see how women’s tops from brands across Google’s Shopping Graph, including Anthropologie, LOFT, H&M, and Everlane, look on different body types. Over time, this tool is expected to become even more precise and expand to more of your favorite brands. This innovative solution signifies a significant leap in online shopping, enabling customers to make informed decisions and minimizing the risk of returns due to unfitting clothes.
Conclusion
In conclusion, the AI-powered virtual try-on is an innovative feature that enhances the online shopping experience. It uses a combination of diffusion and cross-attention techniques to generate photorealistic images of people wearing different garments. As this feature evolves, it promises to revolutionize the way we shop online.
FAQs
- What is the AI virtual try-on feature? The AI virtual try-on feature is a technology developed by Google that allows you to see what clothes would look like on different body types and poses virtually.
- How does the AI virtual try-on feature work? The feature uses a generative AI model that uses diffusion and cross-attention techniques to generate photorealistic images of people wearing different garments.
- What is diffusion in the context of the AI virtual try-on? Diffusion is the process of gradually adding extra pixels or “noise” to an image until it becomes unrecognizable, and then removing the noise completely until the original image is reconstructed in perfect quality.
- What is cross-attention in the context of the AI virtual try-on? Cross-attention is a process where a pair of images, one of a garment and another of a person, are sent to their own neural networks# AI Virtual Try-On: A Revolutionary Shopping Experience
