NVIDIA Omniverse Introduces DLSS 3.5 Featuring Ray Reconstruction for Enhanced Graphics

NVIDIA has released DLSS 3.5, a free update for RTX GPUs that brings Ray Reconstruction to their Omniverse platform, allowing creators to build custom 3D tools and apps with greater graphical fidelity and upscaling capabilities, as well as real-time ray tracing inference and higher-quality previews.

DLSS 3.5 update is free for owners of RTX GPUs
AI network trained on NVIDIA supercomputers generates higher-quality pixels
NVIDIA GPU-accelerated MadMapper software used to map custom visuals onto house

nVidia has finally released the highly anticipated DLSS 3.5 update, which brings Ray Reconstruction to their Omniverse platform. This update allows creators to connect and build custom 3D tools and apps with greater graphical fidelity and upscaling capabilities. The good news is that it’s free for owners of RTX GPUs.

One of the standout features of DLSS 3.5 is the replacement of hand-tuned denoisers with an AI network trained on NVIDIA supercomputers. This network generates higher-quality pixels in between sampled rays, resulting in enhanced ray-traced image quality on Geforce RTX GPUs. Traditionally, previewing content in the viewport could lead to subpar image quality, but with DLSS 3.5, creators can enjoy high-quality preview images and significantly reduce rendering time.

To take full advantage of DLSS 3.5, users can enable the feature by accessing the “Render Settings” under “Ray Tracing” and turning on the “New Denoiser (experimental)” option in the “Direct Lighting” tab. This allows for real-time ray tracing inference and higher-quality previews when building and iterating scenes using NVIDIA Omniverse and the USD Composer app.

In the spirit of Halloween, NVIDIA Creative Director Sabour Amirazodi has once again impressed his neighbors with his annual installation called the “Haunted Sanctuary.” This project involves projection mapping onto his house, creating a spooky and immersive experience for all.

Amirazodi used NVIDIA GPU-accelerated MadMapper software, along with a DSLR camera connected to his mobile workstation powered by an NVIDIA RTX A5000 GPU, to map custom visuals onto his house. By shooting a series of lines and capturing photos, he was able to create a 3D model based on the projector’s Point of View. With the help of Cinema 4D’s camera-matching tools, he recreated the scene and applied mapping and perspective correction edits.

Thanks to GPU acceleration, Amirazodi was able to smoothly interact with complex 3D models and animate the characters. He praised the availability of third-party NVIDIA GPU-accelerated 3D renderers like V-Ray, OctaneRender, and Redshift in Cinema 4D, stating that GPUs are essential for serious creators.

Amirazodi’s workflow was streamlined by GPU acceleration, saving him countless hours. Adobe After Effects, Adobe Premiere Pro, and Adobe Media Encoder all benefited from GPU acceleration, allowing him to create and render animations efficiently. He then loaded the sequences onto BrightSign digital players for a synchronized show.

All of Amirazodi’s hard work and long nights paid off when he saw the joy it brought to his kids and the entire neighborhood. With NVIDIA’s powerful GPUs and software, he was able to create a hauntingly memorable experience that truly captured the Halloween spirit.

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Background Information

About Adobe:

Adobe is a software company for its creative software suites, including Photoshop, Illustrator, and Adobe Acrobat. They are widely used by professionals in the design, photography, and publishing industries, and their software plays a crucial role in digital content creation and management.

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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.

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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.

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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.

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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.

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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.