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

How Tesla’s (TSLA) Robotaxi, AI Deals and U.K. Energy Push Could Shape Software Revenue Growth

InMind: Evaluating LLMs in Capturing and Applying Individual Human Reasoning Styles – Takara TLDR

Why AI Stocks Are Giving Some Investors Dotcom Bubble Déjà Vu

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
MIT CSAIL

MIT, CSAIL Researchers Convert 2D Content for Glasses-Free 3D TVs

By Advanced AI EditorAugust 25, 2025No Comments4 Mins Read
Share Facebook Twitter Pinterest Copy Link Telegram LinkedIn Tumblr Email
Share
Facebook Twitter LinkedIn Pinterest Email


Third-dimensional movies could soon be venturing outside the theaters — and ditching those red and blue paper glasses too. New research out of the Massachusetts Institute of Technology and the Computer Science and Artificial Intelligence Laboratory (CSAIL), published on July 12, devises a way to watch 3D movies at home, without the need for glasses. Called Home3D, the new platform converts existing stereoscopic 3D movies by using artificial intelligence, rather than using a new camera system for natively recording the content.

The 3D glasses correct a pair of offset, polarized images to create a sense of depth. Home 3D, however, uses what’s called an automultiscopic display. The display is actually three (or more) images, but those images are presented in a slightly offset way that looks different when the screen is viewed from different angles. That allows the brain to see a coherent image with depth information, creating a 3D effect without the glasses.

Automultiscopic displays have already allowed for glasses-free TVs. While the display type recently introduced is promising, it requires creating a 3D video using 30 different cameras. The unusual format creates a sort of chicken-and-egg problem: Producers aren’t going to create this 30-camera content when no consumers actually own a automultiscopic TV, but no consumers are actually going to buy a automultiscopic TV when there’s no content being produced for it. Companies like Toshiba already have glasses-free displays on the market, but they’ve failed to grow in popularity because of limited content.

What the latest MIT/CSAIL research does is to create a way to convert existing, glasses-required 3D content into the proper format for automultiscopic displays (the study is based off a similar work that focused on glasses-free viewing at movie theaters last year). By converting content that already exists into the new glasses-free format, automultiscopic TVs could actually wind up in homes since it only requires some software to convert content to the new format. That’s why when YouTube announced a new 180-degree format, they launched a way to view the content and, with manufacturing partners, a way to create the content at the same time.

“Automultiscopic displays aren’t as popular as they could be because they can’t actually play the stereo formats that traditional 3D movies use in theaters,” said  Petr Kellnhofer, lead author on the Home3D research. “By converting existing 3D movies to this format, our system helps open the door to bringing 3D TVs into people’s homes.”

The MIT/CSAIL study isn’t the first to try computerized conversions to the new format, but reverses some of the current limitations. Phase-based rendering is a quick and accurate method for converting to the video type, but it can’t handle every type of 3D image. A technique called depth image-based rendering can handle those types of images, but is low-resolution and loses finer details like in transparent objects or motion blur.

The new software uses AI to mix the two conversion methods, creating a high-resolution 3D result without the glasses and without the limitations of earlier methods. The software can convert videos in real-time, running on a graphics processing unit (GPU), which means that the program could run off existing gaming devices like an Xbox or PlayStation, effectively mixing existing videos with existing hardware through software conversion. Future media players or smart automultiscopic TVs could integrate a GPU to enable the conversion as well, the research group says.

When Home3D-converted movies including The Avengers and Big Buck Bunny were presented to a study group, 60 percent of participants said the quality was better than existing 3D videos.

As we mentioned in our DT10 series on the future of the television, glasses-free 3D TVs will be a future technology manufacturers tap into, and this research backs up this trend. While the new method brings glasses-free home TVs closer to reality, the researchers say the current program does create some ghosting, or offset images, an issue the team plans to continue to refine through software.






Source link

Follow on Google News Follow on Flipboard
Share. Facebook Twitter Pinterest LinkedIn Tumblr Email Copy Link
Previous ArticleNvidia Earnings: Live Updates and Commentary August 2025
Next Article GSA introduces USAi.Gov to streamline AI adoption across government
Advanced AI Editor
  • Website

Related Posts

IMF Says AI Will Upend Jobs and Boost Inequality. MIT CSAIL Says Not Fast.

August 21, 2025

MIT builds robot hand that can ‘see and feel’ objects as fragile as a crisp in major breakthrough | The Independent

August 15, 2025

One Step Closer to Human Intelligence

August 5, 2025

Comments are closed.

Latest Posts

Mütter Museum in Philadelphia Announces New Policy for Human Remains

Inigo Philbrick, Art Dealer Convicted of Fraud, Appears in BBC Film

Links for August 22, 2025

White House Targets Specific Artworks at Smithsonian Museums

Latest Posts

How Tesla’s (TSLA) Robotaxi, AI Deals and U.K. Energy Push Could Shape Software Revenue Growth

August 25, 2025

InMind: Evaluating LLMs in Capturing and Applying Individual Human Reasoning Styles – Takara TLDR

August 25, 2025

Why AI Stocks Are Giving Some Investors Dotcom Bubble Déjà Vu

August 25, 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

  • How Tesla’s (TSLA) Robotaxi, AI Deals and U.K. Energy Push Could Shape Software Revenue Growth
  • InMind: Evaluating LLMs in Capturing and Applying Individual Human Reasoning Styles – Takara TLDR
  • Why AI Stocks Are Giving Some Investors Dotcom Bubble Déjà Vu
  • With AI chatbots, Big Tech is moving fast and breaking people
  • IBM and NASA Develop a Digital Twin of the Sun to Predict Future Solar Storms

Recent Comments

  1. DanielTWexy on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10
  2. JamesFug on Marc Raibert: Boston Dynamics and the Future of Robotics | Lex Fridman Podcast #412
  3. MarvinDit on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10
  4. JeffreyNipsy on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10
  5. slot online 4d on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10

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.