12/23/2023 0 Comments Melhorar desempenho nomachineIn the right circumstances, it can deliver substantial performance uplifts without affecting the look and feel of a game on the contrary, it can make the game look even better. More traditional super-resolution techniques can lead to artifacts and bugs in the eventual picture, but DLSS is designed to work with those errors to generate an even better-looking image. DLSS 2.0 offers four times the resolution, allowing you to render games at 1080p while outputting them at 4K. The idea is to make games rendered at 1440p look like they’re running at 4K or 1080p games to look like 1440p. After rendering the game at a lower resolution, DLSS infers information from its knowledge base of super-resolution image training to generate an image that still looks like it was running at a higher resolution. What does DLSS actually do?ĭLSS is the result of an exhaustive process of teaching Nvidia’s AI algorithm to generate better-looking games. Even Intel has its own supersampling technology called Intel XeSS, or Intel Xe Super Sampling. Nvidia is leading the charge in this area, though AMD’s new FidelityFX Super Resolution feature could provide some stiff competition. Thanks to the new 8-bit floating point tensor engine, the cores have had their throughput increased by as much as five times compared to the previous generation. This makes the DLSS boost even more powerful. Nvidia’s newest graphics cards from the RTX 40-Series lineup bring the Tensor cores up to their fourth generation. Although RTX 20 series GPUs have Tensor cores inside, the RTX 3060, 3060 Ti, 3070, 3080, and 3090 come with Nvidia’s second-generation Tensor cores, which offer greater per-core performance. This is all possible thanks to Nvidia’s Tensor cores, which are only available in RTX GPUs (outside of data center solutions, such as the Nvidia A100). NVIDIA DLSS - Image Processing Algorithm vs. Nvidia does it offline, away from your computer, providing the benefits of supersampling without the computing overhead. This is important, as SSAA usually requires you to render the higher-resolution image locally. Then, the anti-aliasing method can use the AI model to fill in the missing information. Using the power of machine learning, Nvidia can train AI models with high-resolution scans. The “deep learning” part is Nvidia’s secret sauce. Over other forms of anti-aliasing, though, SSAA (supersampling anti-aliasing) works by rendering the image at a much higher resolution and using that data to fill in the gaps at the native resolution. The “supersampling” bit refers to an anti-aliasing method that smooths the jagged edges that show up on rendered graphics. What is DLSS?ĭLSS stands for deep learning supersampling. Here’s everything you need to know about DLSS, how it works, and what it can do for your PC games. DLSS 3 reinvents the technology by rendering frames instead of pixelsīut there’s a little more to the story than that.
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