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#3440X1440P PORTAL 2 IMAGES FULL#
Combining both techniques enables the GPU to render the full monitor resolution at higher frame rates. This has the effect of increasing the resolution of the input. We then repeat the process, but this time we train the model to generate additional pixels rather than applying AA. The supercomputer trains the DLSS model to recognize aliased inputs and generate high quality anti-aliased images that match the “perfect frame” as closely as possible. These paired frames are fed to NVIDIA’s supercomputer. With DLSS, gamers can use higher resolutions and settings while still maintaining solid framerates.Ī: The DLSS team first extracts many aliased frames from the target game, and then for each one we generate a matching “perfect frame” using either super-sampling or accumulation rendering. There have been a lot of questions, and I wanted to get some answers out to you on the most popular ones.Ī: Deep Learning Super Sampling (DLSS) is an NVIDIA RTX technology that uses the power of AI to boost your frame rates in games with graphically-intensive workloads. This week, we’re excited to launch DLSS for Battlefield TM V and Metro Exodus, following launches in Final Fantasy XV: Windows Edition and 3DMark Port Royal. I’ve been working here since 2010, and for the last couple of years my team has been working with the folks at NVIDIA Research to create DLSS. Hi, I’m Andrew Edelsten, Technical Director of Deep Learning at NVIDIA.