This allows the algorithm to better prioritize which pixels to upscale. The motion vectors feed FSR movement data, based on how the scene is changing or "moving" over two consecutive frames. But instead of using a supercomputer and tens of thousands (millions?) of frames worth of data to train an algorithm, and then relying on special purpose tensor cores to run, AMD's FSR 2.0 simply uses the GPU shader cores, allowing the tech to work on virtually any GPU. It uses current and previous frames (temporal data), motion vectors, and the depth buffer - just like DLSS. FSR 2.0 now relies on a temporal upscaling algorithm that takes into account data from multitude sources. Even so, the changes are impressive.įSR 2.0 is a from the ground up overhaul of FSR 1.0, with features and functionality that are more aligned with DLSS 2.x than the original FSR version. We've learned over the years that not all DLSS or FSR implementations are created equal, and this is an AMD-promoted game that had very poor FSR 1.0 quality to begin with. Even better, FSR 2.0 doesn't require any special machine learning hardware like Nvidia's tensor cores, meaning it will run on all of the best graphics cards and basically every GPU released in the past several years.Ī quick disclaimer: the above is based on our testing with a preview build of Deathloop, provided by AMD. Based on our testing, FSR 2.0's upscaling quality appears to be on par with Nvidia's latest DLSS 2.3 version. AMD's has released its new Fidelity FX Super Resolution 2.0 (FSR 2.0) upscaling technology, showing massive image quality improvements over FSR 1.0.
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