NVIDIA introduces RTX Video HDR Tool: Elevating Standard Res Video to Stunning HDR

January 25, 2024 by our News Team

CES Las Vegas

NVIDIA's latest update introduces new features for gamers and creators, including the RTX Video HDR and RTX Remix open beta, as well as the powerful GeForce RTX 4070 Ti SUPER GPU, showcasing their commitment to pushing the boundaries of gaming and content creation.

  • The RTX Video HDR feature utilizes AI to transform standard dynamic range video into stunning high dynamic range on HDR10 displays.
  • The NVIDIA RTX Remix open beta provides powerful tools for PC game modders, including full ray tracing, DLSS, and generative AI texture tools.
  • The new GeForce RTX 4070 Ti SUPER offers impressive performance for video editing and rendering large 3D scenes, with up to 1.6x faster performance than its predecessor.

nVidia’s latest update brings exciting new features for gamers and creators alike. The RTX Video HDR, which was first announced at CES, is now available for download through the January Studio Driver. This innovative technology utilizes AI to transform standard dynamic range video into stunning high dynamic range (HDR) on HDR10 displays, delivering vivid and dynamic colors with enhanced detail.

One of the standout additions for PC game modders is the NVIDIA RTX Remix open beta. This powerful set of tools includes full Ray Tracing, NVIDIA DLSS, NVIDIA Reflex, modern physically based rendering assets, and generative AI texture tools. With these tools at their disposal, modders can now remaster games more efficiently than ever before.

For those in need of an upgrade, the new Geforce RTX 4070 Ti SUPER is now available from custom board partners. Part of the RTX 40 SUPER Series, this GPU boasts more CUDA cores than its predecessor, the RTX 4070, along with a 16 GB frame buffer and a 256-bit bus. These features make it perfect for video editing and rendering large 3D scenes. With up to 1.6x faster performance than the RTX 3070 Ti and 2.5x faster with DLSS 3 in graphics-intensive games, the RTX 4070 Ti SUPER is a beast of a card.

In the world of content creation, technical artist Vishal Ranga takes the spotlight with his impressive 3D scene called “Disowned.” Powered by NVIDIA RTX and Unreal Engine with DLSS, Ranga showcases the capabilities of these technologies in creating stunning visual experiences.

The RTX Video HDR feature utilizes Tensor Cores on GeForce RTX GPUs to maximize the potential of HDR panels. By preserving intricate details that may be lost due to video compression, this technology ensures that users can fully appreciate the richness and depth of HDR content. Additionally, when combined with RTX Video Super Resolution, it enables the production of clear and high-quality livestreamed videos.

To enable RTX Video HDR, users can simply download and install the January Studio Driver, ensure that Windows HDR features are enabled, and then navigate to the NVIDIA Control Panel to enable HDR. From there, standard dynamic range videos will automatically convert to HDR, displaying improved details and sharpness.

RTX Video HDR is just one of the many RTX-powered apps that enhance everyday PC use, productivity, creating, and gaming. NVIDIA Broadcast supercharges microphones and cameras, NVIDIA Canvas turns brushstrokes into realistic landscape images, and NVIDIA Omniverse seamlessly connects 3D apps and creative workflows. These exclusive Studio tools, along with the industry-leading NVIDIA Studio Drivers, are available for free to RTX graphics card owners and support the latest creative app updates and AI-powered features.

It’s important to note that RTX Video HDR requires an RTX GPU connected to an HDR10-compatible monitor or TV. For more information, users can refer to the RTX Video FAQ.

In conclusion, NVIDIA continues to push the boundaries of what is possible in the world of gaming and content creation with their latest updates. The RTX Video HDR and RTX Remix open beta provide users with powerful tools to enhance their experiences, while the GeForce RTX 4070 Ti SUPER offers impressive performance for demanding tasks. With NVIDIA’s commitment to innovation, it’s clear that they are dedicated to empowering creators and gamers alike.

NVIDIA introduces RTX Video HDR Tool: Elevating Standard Res Video to Stunning HDR

NVIDIA introduces RTX Video HDR Tool: Elevating Standard Res Video to Stunning HDR

NVIDIA introduces RTX Video HDR Tool: Elevating Standard Res Video to Stunning HDR

About Our Team

Our team comprises industry insiders with extensive experience in computers, semiconductors, games, and consumer electronics. With decades of collective experience, we’re committed to delivering timely, accurate, and engaging news content to our readers.

Background Information

About nVidia: NVIDIA has firmly established itself as a leader in the realm of client computing, continuously pushing the boundaries of innovation in graphics and AI technologies. With a deep commitment to enhancing user experiences, NVIDIA's client computing business focuses on delivering solutions that power everything from gaming and creative workloads to enterprise applications. for its GeForce graphics cards, the company has redefined high-performance gaming, setting industry standards for realistic visuals, fluid frame rates, and immersive experiences. Complementing its gaming expertise, NVIDIA's Quadro and NVIDIA RTX graphics cards cater to professionals in design, content creation, and scientific fields, enabling real-time ray tracing and AI-driven workflows that elevate productivity and creativity to unprecedented heights. By seamlessly integrating graphics, AI, and software, NVIDIA continues to shape the landscape of client computing, fostering innovation and immersive interactions in a rapidly evolving digital world.

nVidia website  nVidia LinkedIn

Event Info

About CES: CES, the Consumer Electronics Show, is an annual event held in Las Vegas, Nevada, organized by the Consumer Technology Association (CTA). With a history dating back to 1967, it has become the world's premier platform for unveiling and exploring the latest innovations in consumer electronics and technology. Drawing exhibitors ranging from industry titans to startups across diverse sectors, including automotive, health and wellness, robotics, gaming, and artificial intelligence, CES transforms Las Vegas into a global tech hub, offering a glimpse into the future of technology through a wide array of showcases, from startup-focused Eureka Park to cutting-edge automotive and health tech exhibitions.

CES website  CES LinkedIn

Technology Explained

DLSS: DLSS (Deep Learning Super Sampling) is an advanced AI-powered technology developed by NVIDIA that enhances real-time graphics rendering in video games and applications. DLSS utilizes deep learning algorithms to upscale lower-resolution images in real-time, resulting in higher-quality visuals while maintaining optimal performance. By harnessing the power of AI and deep neural networks, DLSS effectively boosts frame rates and image quality, enabling gamers to experience smoother gameplay and more immersive graphics without sacrificing computational efficiency. This technology has gained widespread recognition for its ability to deliver impressive visual fidelity and improved performance simultaneously, revolutionizing the way modern computer graphics are processed and displayed.

DLSS Website: https://www.nvidia.com/en-gb/geforce/technologies/dlss

Geforce: Geforce is a line of graphics processing units (GPUs) developed by Nvidia. It is the most popular GPU used in the computer industry today. Geforce GPUs are used in gaming PCs, workstations, and high-end laptops. They are also used in virtual reality systems, artificial intelligence, and deep learning applications. Geforce GPUs are designed to deliver high performance and power efficiency, making them ideal for gaming and other demanding applications. They are also capable of rendering high-resolution graphics and providing smooth, realistic visuals. Geforce GPUs are used in a variety of applications, from gaming to professional workstations, and are the preferred choice for many computer users.

GPU: GPU stands for Graphics Processing Unit and is a specialized type of processor designed to handle graphics-intensive tasks. It is used in the computer industry to render images, videos, and 3D graphics. GPUs are used in gaming consoles, PCs, and mobile devices to provide a smooth and immersive gaming experience. They are also used in the medical field to create 3D models of organs and tissues, and in the automotive industry to create virtual prototypes of cars. GPUs are also used in the field of artificial intelligence to process large amounts of data and create complex models. GPUs are becoming increasingly important in the computer industry as they are able to process large amounts of data quickly and efficiently.

HDR: High Dynamic Range (HDR) is a technology used to create images and videos with a greater range of luminance levels than what is possible with standard digital imaging. It allows for a greater range of colors and details to be captured in an image, resulting in a more realistic and vibrant look.

Ray Tracing: Ray tracing is an advanced rendering technique used in computer graphics to simulate the way light interacts with objects in a virtual environment. It traces the path of light rays as they travel through a scene, calculating how they interact with surfaces, materials, and lighting sources. By simulating the complex behaviors of light, ray tracing produces highly realistic and accurate visual effects, including lifelike reflections, shadows, and refractions. This technology enhances the overall visual quality of images and animations by accurately replicating how light behaves in the real world, resulting in a more immersive and visually stunning digital experience.

Ray Tracing Website: https://www.nvidia.com/en-gb/geforce/technologies/ray-tracing/

Tensor Cores: Tensor Cores are a type of specialized hardware designed to accelerate deep learning and AI applications. They are used in the computer industry to speed up the training of deep learning models and to enable faster inference. Tensor Cores are capable of performing matrix operations at a much faster rate than traditional CPUs, allowing for faster training and inference of deep learning models. This technology is used in a variety of applications, including image recognition, natural language processing, and autonomous driving. Tensor Cores are also used in the gaming industry to improve the performance of games and to enable more realistic graphics.

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