Monday 30 March 2020

NVIDIA’s Deep Learning Super Sampling (DLSS) 2.0 Technology Is The Real Deal

This past week, NVIDIA announced an update to its Deep Learning Super Sampling technology, aptly dubbed DLSS 2.0. If you recall, DLSS originally a launched alongside the company’s Turning-based GeForce RTX series graphics cards in the fall of 2018, and this latest iteration improves the technology in a number of meaningful ways, that benefit not only gamers, but game developers as well.

DLSS essentially takes lower-resolution imagery, and intelligently upscales it to looks like native, higher-resolution output. DLSS 1.0 required game developers to provide game assets to NVIDIA, who would then feed the data to a DGX-1 neural network to evaluate the game’s visuals, frame by frame, comparing them to a “ground truth” golden sample of image quality. The ground truth reference was a full resolution image with 64x super-sampling (64xSS) applied, to provide extreme detail and ultra-high-quality anti-aliasing. The neural network is then tasked with producing an image output, measuring the difference between it and the 64xSS ground truth image quality target, and adjusting its weights accordingly in an effort to perfect the image on the next iteration; and the process continues until the model is built for that particular what is computer engineering.

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