AI Upscaling And The Future Of Content Delivery - AI Summary

The technology, which has already been employed by several notable PC games over the last few years, uses machine learning to upscale rendered images in real-time. So rather than tasking the GPU with producing a native 4K image, the engine can render the game at a lower resolution and have DLSS make up the difference. In the case of DLSS, NVIDIA trained their neural network by taking low and high resolution images of the same game and having their in-house supercomputer analyze the differences. Combined with motion vector data, the neural network was tasked with not only filling in the necessary visual information to make the low resolution image better approximate the idealistic target, but predict what the next frame of animation might look like. In other words, if you have a computer powerful enough to run a game at 30 FPS in 1920 x 1080, the same computer could potentially reach 60 FPS if the game was rendered at 1280 x 720 and scaled up with DLSS.