DLSSteknologian

DLSSteknologian, which stands for Deep Learning Super Sampling, is a proprietary resolution upscaling and temporal feedback technique developed by Nvidia. It is designed to increase graphics performance in video games and other visual applications by rendering frames at a lower resolution and then using artificial intelligence to reconstruct them to a higher resolution. This process allows for higher frame rates and smoother gameplay without a significant loss in visual fidelity.

The core of DLSSteknologian relies on a deep neural network trained on high-resolution game images and their corresponding low-resolution versions. This network learns how to intelligently upscale the lower-resolution image, predicting missing details and sharpening edges to produce an image that closely resembles the original high-resolution render. It also utilizes temporal data from previous frames to further refine the upscaled image, reducing aliasing and ghosting artifacts.

DLSSteknologian requires specific Nvidia RTX graphics cards, as it leverages the Tensor Cores found on these GPUs, which are specialized for AI and deep learning computations. The technology is integrated into games through the use of Nvidia's SDK, and developers can choose to implement different DLSS quality presets, such as "Quality," "Balanced," and "Performance," which offer varying trade-offs between image quality and performance gains. DLSSteknologian has been widely adopted by game developers and is considered a significant advancement in real-time rendering technology.