In May, Facebook debuted Shops, which allows companies to set up digital stores across Facebook, WhatsApp, Messenger and Instagram, and also described its goal to develop an AI assistant to recommend products. The assistant would learn about a user’s preferences by analyzing images in his wardrobe and allow him to virtually try on clothing. Based on papers Facebook will present at the Conference on Computer Vision and Pattern Recognition 2020, it appears the company is deep in development of this assistant. Continue reading Facebook Papers Reveal Progress on AI Shopping Assistant

Researchers from Adobe, the Indian Institute of Technology and Stanford University teamed up to create SieveNet, an AI-powered technology that allows a user to virtually try on clothing. The “image-based virtual try-on” maps the item to the virtual body, retaining its characteristics without creating blurry or bleeding textures. According to banking company Klarna, 29 percent of shoppers want to virtually try on apparel, accessories and cosmetics and 49 percent would like solutions that take their measurements into account. Continue reading AI-Powered App Enables Improved Virtual Apparel Try-Ons