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Virtually Try on Clothes with AI: A New Era in Online Shopping

Virtually Try on Clothes with AI: A New Era in Online Shopping

The ability to virtually try on clothes has the potential to revolutionize the world of online shopping. Through the use of artificial intelligence and computer vision, it is now possible to visualize how garments would look on individuals without physically trying them on. A recent research paper from Google –  “TryOnDiffusion: A Tale of Two UNets” has introduced a groundbreaking AI technique in this field. The AI model is now powering Google’s new virtual try-on feature for apparel that lets users see the product worn by a range of models of different body shapes and skin tones. A feature many shoppers ask for. In this blog post, we will explore the potential of this technology and how it could revolutionize the virtual shopping experience.


AI advances the level of realism:

AI-powered virtual try-on techniques, like TryOnDiffusion, harness the power of advanced AI algorithms and deep learning models to create exceptionally realistic visualizations of garments on users’ bodies. These techniques go beyond traditional augmented reality (AR) approaches that rely on 3D modeled assets, which often result in blocky and less visually appealing product representations. Instead, AI-based solutions excel at accurately adapting garments to individual poses and body shapes while preserving intricate details. The result is a more immersive and true-to-life virtual representation that empowers users to make confident and informed purchasing decisions. With AI, the level of realism achieved in virtual try-on experiences reaches new heights, ensuring that users can visualize the garments in a way that closely mirrors their appearance in the physical world.


virtually try on clothes tryondiffusion google ai

Person, garment input and try-on result


Seamless Adaptation to Pose and Body Changes:

Accommodating variations in pose and body shape has always been a challenge in virtual try-on. While augmented reality (AR) solutions have made progress in this area, AI techniques offer more seamless and accurate adaptation. TryOnDiffusion, for instance, employs a unified process that warps the garment and blends it with the user’s pose and body, resulting in a more realistic and reliable representation of how the garment will look on the individual.



AI-driven virtual try-on techniques are known for their efficiency and speed, enabling near-real-time interactions. Unlike AR try-on services that overlay virtual garments on live camera feeds, AI methods, like TryOnDiffusion, generate visualizations through sophisticated neural networks. The optimized algorithms and parallel processing capabilities of AI models ensure faster rendering and reduce the time required for generating virtual try-on results. This increased efficiency can be of great importance, especially on e-commerce platforms where quick interactions are vital. Ultimately, while AI virtual try-on techniques can offer faster rendering and processing times due to their off-line processing nature, the actual performance may depend on various factors and the specific implementation of the technology.


google AI try-on Virtually try on clothes with a new AI shopping feature

A diverse range of models, all wearing the same garment


Potential for Full-Body Try-On:

While both AR and AI virtual try-on approaches primarily focus on upper-body clothing, AI techniques have the potential to extend their capabilities to full-body try-on scenarios. By leveraging AI algorithms that can handle complex body shapes and movements, future AI-based solutions may enable users to virtually try on a broader range of garments, including bottoms, dresses, and accessories. This expansion would offer users a comprehensive and versatile shopping experience, bridging the gap between the virtual and physical realms.


AR + AI?

The combination of AI-powered virtual try-on and AR technologies brings exciting possibilities to the future of virtual shopping. By merging AI-generated visuals with AR overlays, users can instantly see themselves wearing virtual clothes and see how those garments interact with their surroundings. This integration adds a whole new level of interactivity and personalization, making the virtual try-on experience even more fun and engaging.

While AR-based virtual try-on services have already made it possible to try on clothes digitally, AI takes it up a notch. AI techniques bring greater accuracy, sophistication, and immersion to the virtual shopping realm. As AI continues to advance, we can anticipate even more exciting innovations in this field. These innovations have the potential to transform online garment shopping, blurring the boundaries between the physical and digital worlds in remarkable ways.