Multi-color holograms rely on simultaneous illumination from multiple light sources. These multi-color holograms could utilize light sources better than conventional single-color holograms and can improve the dynamic range of holographic displays. In this letter, we introduce \projectname, the first learned method for estimating the optimal light source powers required for illuminating multi-color holograms. For this purpose, we establish the first multi-color hologram dataset using synthetic images and their depth information. We generate these synthetic images using a trending pipeline combining generative, large language, and monocular depth estimation models. Finally, we train our learned model using our dataset and experimentally demonstrate that \projectname significantly decreases the number of steps required to optimize multi-color holograms from $>1000$ to $70$ iteration steps without compromising image quality.

Virtual and augmented reality headsets are designed to place wearers directly into other environments, worlds and experiences. While the technology is already popular among consumers for its immersive quality, there could be a future where the holographic displays look even more like real life. In their own pursuit of these better displays, the Stanford Computational Imaging Lab has combined their expertise in optics and artificial intelligence. Their most recent advances in this area are detailed in a paper published Nov. 12 in Science Advances and work that will be presented at SIGGRAPH ASIA 2021 in December. At its core, this research confronts the fact that current augmented and virtual reality displays only show 2D images to each of the viewer's eyes, instead of 3D – or holographic – images like we see in the real world.

Researchers at the Massachusetts Institute of Technology (MIT) have used machine learning to reduce the processing power needed to render convincing holographic images, making it possible to generate them in near-real time on consumer-level computer hardware. Such a method could pave the way to portable virtual-reality systems that use holography instead of stereoscopic displays. Stereo imagery can present the illusion of three-dimensionality, but users often complain of dizziness and fatigue after long periods of use because there is a mismatch between where the brain expects to focus and the flat focal plane of the two images. Switching to holographic image generation overcomes this problem; it uses interference in the patterns of many light beams to construct visible shapes in free space that present the brain with images it can more readily accept as three-dimensional (3D) objects. "Holography in its extreme version produces a full optical reproduction of the image of the object. There should be no difference between the image of the object and the object itself," says Tim Wilkinson, a professor of electrical engineering at Jesus College of the U.K.'s University of Cambridge.

Despite years of hype, virtual reality headsets have yet to topple TV or computer screens as the go-to devices for video viewing. One reason: VR can make users feel sick. Nausea and eye strain can result because VR creates an illusion of 3D viewing although the user is in fact staring at a fixed-distance 2D display. The solution for better 3D visualization could lie in a 60-year-old technology remade for the digital world: holograms. Holograms deliver an exceptional representation of 3D world around us.

Despite years of hype, virtual reality headsets have yet to topple TV or computer screens as the go-to devices for video viewing. One reason: VR can make users feel sick. Nausea and eye strain can result because VR creates an illusion of 3D viewing although the user is in fact staring at a fixed-distance 2D display. The solution for better 3D visualization could lie in a 60-year-old technology remade for the digital world: holograms. Holograms deliver an exceptional representation of 3D world around us.

MIT researchers have developed a way to produce holograms almost instantly. They say the deep learning-based method is so efficient that it could run on a smartphone. A new method called tensor holography could enable the creation of holograms for virtual reality, 3D printing, medical imaging, and more -- and it can run on a smartphone. Despite years of hype, virtual reality headsets have yet to topple TV or computer screens as the go-to devices for video viewing. One reason: VR can make users feel sick.

Despite years of hype, virtual reality headsets have yet to topple TV or computer screens as the go-to devices for video viewing. One reason: VR can make users feel sick. Nausea and eye strain can result because VR creates an illusion of 3D viewing although the user is in fact staring at a fixed-distance 2D display. The solution for better 3D visualization could lie in a 60-year-old technology remade for the digital world: holograms. Holograms deliver an exceptional representation of 3D world around us.

Earlier this month, Thalmic Labs announced it would be ending the production of Myo, a gesture-controlled armband that it's been developing for the past few years. The company has decided to shift focus to an entirely different project. Today, it's finally ready to reveal what that project is. It's called Focals, a pair of smart glasses that uses holographic display technology. "Focals are a pair of everyday smart glasses that are designed from the eyewear-first perspective," Stephen Lake, North's CEO and co-founder, told Engadget.

The Mercedes-Benz Vision Tokyo's electric hybrid system can drive 118 miles on batteries and more than 490 miles on electricity produced by its fuel cells. The impending arrival of autonomous vehicles has a lot of engineers wondering: What will the interior of a smart car look like without the steering wheel, pedals, and gauges? And what will we do with ourselves if we're not driving? Mercedes-Benz has a feeling we'll hang out like we're on a futuristic party bus. The company's Vision Tokyo concept car, unveiled at the Tokyo Motor Show, is aimed at drivers who love their digital toys.