🤖 AI Summary
Google expanded its AI-powered virtual try-on tool to Australia, Canada and Japan and added footwear to the mix. Users tap a product listing, select “Try It On” and upload a full‑length photo; within seconds the selected shoes are rendered on a digital version of the user, with options to save or share the image. This builds on a rollout two months ago that moved virtual try‑on from showing garments on diverse model bodies to letting shoppers see items on a personalized body image.
The move signals a push toward more personalized e-commerce driven by generative AI: the feature and Google’s experimental Doppl app use the same underlying tech, but Doppl offers deeper styling tools and AI‑generated videos to show outfits in motion. For the AI/ML community this highlights practical, consumer-facing deployment of image‑synthesis models at scale (fast on‑device or cloud rendering, photo alignment to product images, and privacy/consent UX). Commercially, more accurate visualizations can boost conversion and reduce returns, while raising questions about data handling, body representation and model biases that practitioners should monitor as these systems roll out globally.
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