Google launched a new experimental app called Doppl on Thursday on the iOS and Android platforms in the United States, aiming to let users intuitively see how different clothes would look on themselves through artificial intelligence technology. The app uses AI to generate virtual avatars of users wearing clothes, even converting static images into dynamic videos, providing an immersive try-on experience for users.
The core function of Doppl allows users to upload full-body photos, then import photos or screenshots of clothing to virtually try them on their digital version. Whether it's an outfit you found at a thrift store or fashion inspiration from social media, Doppl can easily present it. Users can not only save and browse their favorite looks but also conveniently share them with others.
This innovative app is based on Google's recent virtual try-on feature launched through Google Shopping. Google hopes that the independent Doppl app will simplify the user experience and inspire users' fashion exploration in a more interactive way. Additionally, this move helps Google collect more data, thus promoting its future development in the virtual try-on field.
Unlike Google's previous virtual try-on technology, which mainly showed clothes on different models, Doppl allows users to realistically try on clothes on their own animated avatar, achieving a more personalized and immersive experience.
Google stated in a blog post that Doppl, as an experiment by Google Labs, is still in its early stages, so it may not always be completely accurate in terms of size, appearance, and clothing details. It is currently unclear when or if Google will expand it to other regions outside the United States.
