Google Releases the AI-Based Doppl App for Virtual Outfit Try-Ons
Doppl, a cutting-edge AI-powered software created by Google Labs, is set to transform online shopping. Doppl lets customers virtually try on clothing and is currently accessible in the US for those who are at least 18 years old and have a Google account
Google Labs has released “Doppl,” a new experimental software that uses artificial intelligence (AI) to create virtual outfit try-ons to improve the online shopping experience.
The software, which is now accessible in the IS, enables users who are at least 18 years old and have a Google account to utilize Doppl. Through the program, users can see how clothing might appear on them without ever trying it on.
In addition to that, Google’s Doppl app employs artificial intelligence and lets users choose from a variety of pre-existing AI models or submit a full-body shot of themselves.
Following this, users can overlay pictures of dresses, tops, and bottoms from their camera roll onto the body of their choice. After that, the app will provide a real-time virtual fitting.
Key features of Doppl include:
- Virtual Try-On: The application is made to create a thorough outfit representation by combining user photos or AI models with pictures of clothing.
- Video Animation: To create looks, the program can also incorporate dynamic video animations.
- Easy Sharing: Additionally, users can download and share their virtual try-ons with friends and family to get their opinions.
- Smart Completions: Doppl’s AI can cleverly create missing components like shoes, pants, and other items if an uploaded outfit image is lacking any of these.
The Doppl app currently supports dresses, tops, and bottoms as well. Additionally, Google Labs is attempting to increase the number of clothing categories available on the app.
Although the app is available on the Google Play Store and App Store, Android users will currently only be able to download it on Pixel smartphones.
About The Author:
Yogesh Naager is a content marketer who specializes in the cybersecurity and B2B space. Besides writing for the News4Hackers blogs, he also writes for brands including Craw Security, Bytecode Security, and NASSCOM.
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