NVIDIA has released a new Game Ready driver which includes support for Deep-Learning Dynamic Super Resolution (DLSS), the AI-powered version of their popular DSR technology.
DLSS is a deep learning-based super resolution technology that uses training data to improve image quality and performance. It upscales images by 2x, 4x, or 8x, while simultaneously reducing aliasing and artifacts.
The new Game Ready driver also includes support for NVIDIA Reflex, a technology that reduces latency in competitive games.
With these new features, NVIDIA is once again setting the standard for gaming visuals and performance.
NVIDIA Releases Deep-Learning Dynamic Super Resolution, The AI-Powered Version Of DSR, in Latest Game Ready Drivers
The AI-Powered Version Of DSR
NVIDIA’s latest Game Ready Drivers come with a new feature called Deep-Learning Dynamic Super Resolution, or DLSS for short. This is the AI-powered version of the company’s existing DSR (Dynamic Super Resolution) technology.
With DLSS, NVIDIA’s AI network is trained to render a game at a lower resolution and then upscale it to the target resolution. This process results in a much sharper and more detailed image than traditional upscaling methods.
DLSS is particularly effective in games with complex geometry and lighting effects, such as Metro Exodus and Battlefield V. In these games, DLSS can provide a significant performance boost, as well as improve image quality.
NVIDIA’s DLSS technology is available in the latest Game Ready Drivers. To take advantage of DLSS, you’ll need a compatible graphics card, such as the RTX 2080 Ti.
Deep-Learning Dynamic Super Resolution
NVIDIA’s Deep-Learning Dynamic Super Resolution (DLSS) is the AI-powered version of the company’s well-known DSR technology. DLSS uses deep learning and super resolution to improve the quality of in-game images. NVIDIA claims that DLSS can provide up to 30% better performance than traditional DSR.
DLSS works by training a deep learning model to generate high-resolution images from lower-resolution inputs. This model is then used to generate new, higher-resolution images from in-game footage. This process is similar to the way that traditional super resolution works, but with the added benefit of deep learning.
Deep learning allows DLSS to generate images that are closer to the original high-resolution images than traditional super resolution. This results in a better quality image with less aliasing and artifacts. In addition, DLSS is also able to generate images that have a wider range of colors and detail than traditional super resolution.
NVIDIA has released DLSS as part of its latest Game Ready Drivers. DLSS is currently supported in twelve games, including Control, Death Stranding, and Wolfenstein: Youngblood.
NVIDIA’s Latest Game Ready Drivers
NVIDIA has released their latest game ready drivers and with it comes a new feature called Deep-Learning Dynamic Super Resolution, or DSR for short. DSR is an AI-powered version of the company’s well-known DSR upscaling technology that promises to improve image quality in games by using deep learning algorithms to better estimate the missing details in low-resolution images.
The new DSR feature is available in the latest game ready drivers and is compatible with a wide range of NVIDIA GPUs. To use the new feature, simply enable it in the NVIDIA Control Panel and select the desired upscaling factor. DSR will then automatically upscale the game’s resolution to match the factor selected.
NVIDIA claims that the new DSR feature can provide up to 4x the detail of standard 1080p resolutions, and that it can even improve image quality in games that are already running at 4K resolutions. The company also states that the new feature is “fully compatible with G-SYNC and NVIDIA SLI.”
We’ve yet to test the new DSR feature ourselves, but NVIDIA’s track record with DSR upscaling technology is very good. If you’re looking for a way to improve image quality in games without having to upgrade your GPU, then the new DSR feature is definitely worth considering.
DSR in Action
Deep learning is a type of machine learning that is growing in popularity due to its ability to provide accurate results. NVIDIA’s Deep-Learning Dynamic Super Resolution, or DSR, is a new feature that uses deep learning to improve the quality of images in games. DSR uses a neural network to upscale images, providing better quality than traditional methods.
To see DSR in action, let’s take a look at how it upscales images. First, DSR takes a low-resolution image and feed it into the neural network. The neural network then analyzes the image and produces a high-resolution version of the image. Finally, the high-resolution image is displayed on the screen.
The benefits of using DSR are that it can improve the quality of images without requiring a lot of computing power. Additionally, DSR is capable of producing results that look natural, making it a good choice for gamers who want the best possible graphics without sacrificing performance.