Close Menu
  • Home
  • AI Models
    • DeepSeek
    • xAI
    • OpenAI
    • Meta AI Llama
    • Google DeepMind
    • Amazon AWS AI
    • Microsoft AI
    • Anthropic (Claude)
    • NVIDIA AI
    • IBM WatsonX Granite 3.1
    • Adobe Sensi
    • Hugging Face
    • Alibaba Cloud (Qwen)
    • Baidu (ERNIE)
    • C3 AI
    • DataRobot
    • Mistral AI
    • Moonshot AI (Kimi)
    • Google Gemma
    • xAI
    • Stability AI
    • H20.ai
  • AI Research
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Microsoft Research
    • Meta AI Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding & Startups
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • Expert Insights & Videos
    • Google DeepMind
    • Lex Fridman
    • Matt Wolfe AI
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • Matt Wolfe AI
    • The TechLead
    • Andrew Ng
    • OpenAI
  • Expert Blogs
    • François Chollet
    • Gary Marcus
    • IBM
    • Jack Clark
    • Jeremy Howard
    • Melanie Mitchell
    • Andrew Ng
    • Andrej Karpathy
    • Sebastian Ruder
    • Rachel Thomas
    • IBM
  • AI Policy & Ethics
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
    • EFF AI
    • European Commission AI
    • Partnership on AI
    • Stanford HAI Policy
    • Mozilla Foundation AI
    • Future of Life Institute
    • Center for AI Safety
    • World Economic Forum AI
  • AI Tools & Product Releases
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
    • Image Generation
    • Video Generation
    • Writing Tools
    • AI for Recruitment
    • Voice/Audio Generation
  • Industry Applications
    • Finance AI
    • Healthcare AI
    • Legal AI
    • Manufacturing AI
    • Media & Entertainment
    • Transportation AI
    • Education AI
    • Retail AI
    • Agriculture AI
    • Energy AI
  • AI Art & Entertainment
    • AI Art News Blog
    • Artvy Blog » AI Art Blog
    • Weird Wonderful AI Art Blog
    • The Chainsaw » AI Art
    • Artvy Blog » AI Art Blog
What's Hot

UniVideo: Unified Understanding, Generation, and Editing for Videos – Takara TLDR

MIT rejects Trump administration’s higher education funding agreement

Reinforcing Diffusion Models by Direct Group Preference Optimization – Takara TLDR

Facebook X (Twitter) Instagram
Advanced AI News
  • Home
  • AI Models
    • OpenAI (GPT-4 / GPT-4o)
    • Anthropic (Claude 3)
    • Google DeepMind (Gemini)
    • Meta (LLaMA)
    • Cohere (Command R)
    • Amazon (Titan)
    • IBM (Watsonx)
    • Inflection AI (Pi)
  • AI Research
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Meta AI Research
    • Microsoft Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • AI Experts
    • Google DeepMind
    • Lex Fridman
    • Meta AI Llama
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • The TechLead
    • Matt Wolfe AI
    • Andrew Ng
    • OpenAI
    • Expert Blogs
      • François Chollet
      • Gary Marcus
      • IBM
      • Jack Clark
      • Jeremy Howard
      • Melanie Mitchell
      • Andrew Ng
      • Andrej Karpathy
      • Sebastian Ruder
      • Rachel Thomas
      • IBM
  • AI Tools
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
  • AI Policy
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
  • Business AI
    • Advanced AI News Features
    • Finance AI
    • Healthcare AI
    • Education AI
    • Energy AI
    • Legal AI
LinkedIn Instagram YouTube Threads X (Twitter)
Advanced AI News
TechCrunch AI

Google launches Doppl, a new app that lets you visualize how an outfit might look on you

By Advanced AI EditorJune 26, 2025No Comments2 Mins Read
Share Facebook Twitter Pinterest Copy Link Telegram LinkedIn Tumblr Email
Share
Facebook Twitter LinkedIn Pinterest Email


Google is launching a new experimental app called Doppl that uses AI to visualize how different outfits might look on you, the company announced on Thursday. The app is available on iOS and Android in the U.S.

Doppl is designed to let you virtually try on outfits on a digital version of yourself. The app works by first getting you to upload a full-body photo of yourself. From there, you can use photos or screenshots of different outfits to virtually try them on. These images could be a photo of an outfit you see at a thrift store or on a friend, or even a screenshot of an outfit you see while scrolling through social media.

Once you select an outfit that you want to visualize, Doppl will create an image of a virtual version of yourself wearing the outfit. Doppl can also take these static images and convert them into AI-generated videos so you can get a better sense of how the outfit would look on you in real life.

You can save your favorite looks and browse through all of your other virtual try-ons. Plus, you can also share your look with others.

Image Credits:Google

The tech giant says the new app builds on Google Shopping’s recently launched capabilities that allow you to try on clothes virtually. By launching the functionality in a standalone app, Google is making the feature easier to access while allowing people to explore their style in a fun and interactive way, the company believes. It may also help Google collect more data on how apps like this could work, to aid its future efforts in the space.

While Google has offered virtual try-on technology before, the earlier features focused on showing items on a diverse range of models’ bodies. With Doppl, the company is letting you try clothes on an animated version of your own body.

“We hope Doppl helps you explore your style in new and exciting ways,” Google said in a blog post. “As a Google Labs experiment, Doppl is in its early days and it might not always get things right. Fit, appearance and clothing details may not always be accurate.”

Given that the Doppl is an experimental launch, it’s unknown when or if Google plans to bring the app to additional regions.



Source link

Follow on Google News Follow on Flipboard
Share. Facebook Twitter Pinterest LinkedIn Tumblr Email Copy Link
Previous ArticleImage Synthesis From Text With Deep Learning | Two Minute Papers #116
Next Article MIT faces lawsuit over alleged antisemitism, while incidents rise across the country
Advanced AI Editor
  • Website

Related Posts

The fixer’s dilemma: Chris Lehane and OpenAI’s impossible mission

October 11, 2025

Startup Battlefield company SpotitEarly trained dogs and AI to sniff out common cancers and will show off its tech at Disrupt

October 11, 2025

Former UK Prime Minister Rishi Sunak to advise Microsoft and Anthropic 

October 11, 2025
Leave A Reply

Latest Posts

The Rubin Names 2025 Art Prize, Research and Art Projects Grants

Kochi-Muziris Biennial Announces 66 Artists for December Exhibition

Instagram Launches ‘Rings’ Awards for Creators—With KAWS as a Judge

Frieze to Launch Abu Dhabi Fair in November 2026

Latest Posts

UniVideo: Unified Understanding, Generation, and Editing for Videos – Takara TLDR

October 11, 2025

MIT rejects Trump administration’s higher education funding agreement

October 11, 2025

Reinforcing Diffusion Models by Direct Group Preference Optimization – Takara TLDR

October 11, 2025

Subscribe to News

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

Recent Posts

  • UniVideo: Unified Understanding, Generation, and Editing for Videos – Takara TLDR
  • MIT rejects Trump administration’s higher education funding agreement
  • Reinforcing Diffusion Models by Direct Group Preference Optimization – Takara TLDR
  • it takes more than chips to win the AI race
  • Alibaba’s Artificial Intelligence (AI) Push: Could This Be China’s Best Answer to Nvidia?

Recent Comments

  1. QuantumLeapB8Nalay on Jony Ive is building a futuristic AI device and OpenAI may acquire it
  2. CharlesKes on [2405.19874] Is In-Context Learning Sufficient for Instruction Following in LLMs?
  3. QuantumLeapB8Nalay on Sam & Jony introduce io
  4. QuantumLeapB8Nalay on Implement human-in-the-loop confirmation with Amazon Bedrock Agents
  5. VictoryEchoM5Nalay on Apple’s Lack Of New AI Features At WWDC Is ‘Startling,’ Expert Says – Apple (NASDAQ:AAPL)

Welcome to Advanced AI News—your ultimate destination for the latest advancements, insights, and breakthroughs in artificial intelligence.

At Advanced AI News, we are passionate about keeping you informed on the cutting edge of AI technology, from groundbreaking research to emerging startups, expert insights, and real-world applications. Our mission is to deliver high-quality, up-to-date, and insightful content that empowers AI enthusiasts, professionals, and businesses to stay ahead in this fast-evolving field.

Subscribe to Updates

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

LinkedIn Instagram YouTube Threads X (Twitter)
  • Home
  • About Us
  • Advertise With Us
  • Contact Us
  • DMCA
  • Privacy Policy
  • Terms & Conditions
© 2025 advancedainews. Designed by advancedainews.

Type above and press Enter to search. Press Esc to cancel.