Try FSR 2.0 for free: FSR 2.0.1 sample from AMD in action

As promised by AMD, FSR 2.0 has it on the GPUOpen.com developer platform made. Interested parties and developers can find all the information they need here to evaluate FSR 2.0 or to implement it in their own game project. Included is a standalone demo executable application to see FidelityFX Super Resolution 2.0 in action. Those interested in technology will be happy about numerous options, starting with the various FSR modes, a magnifying glass, up to special functions such as a wireframe mode. In addition, FSR 2.0 can also be compared to FSR 1.0 and other spatial upscalers. Apart from that, there are now five PC games with FSR 2.0:

Background: FSR 2.0

Although the name affinity suggests a certain technical proximity, FSR 2.0 has relatively little to do with its predecessor, FSR 1.0. The upscaling techniques are conceptually similar – a low resolution is upscaled to a higher one. The image is filtered to prevent gross scaling artifacts – under the hood, however, FSR 2.0 has little in common with FSR 1.0, in fact, according to AMD, FSR 2.0 was developed from scratch. Perhaps the most important innovation in FSR 2.0 is that the new upsampling process now works temporally and no longer purely spatially. But this is only part of the innovations. From here we refer to AMD’s review guide, but rather to the detailed and informative GDC presentation, which we would like to recommend to those who are interested in learning more about AMD’s new upsampling technology. We summarize the most important points for you below.

Even if FSR 2.0 is a completely new technology compared to FSR 1.0 and achieves significantly better results, the actual image processing, i.e. the upscaling of the color buffer, works in FSR 2.0 in a relatively similar way to that in FSR 1.0. The extrapolation is done using Lanczos filters. AMD’s Robust Contrast-Adaptive Sharpening (rCAS) is also offered, a small modification of the well-known CAS. With FSR 2.0, you can use the slider to adjust its sharpness to your own requirements. FSR 2.0 also doesn’t rely on machine learning like its DLSS competitor, so it doesn’t require any special hardware and runs on graphics cards (and consoles) from any manufacturer. As with FSR 1.0, AMD has also decided to make the technology publicly available in open source form. But that’s where the similarities end, because apart from a few filters, broad accessibility and the basic idea of ​​saving performance by extrapolating the image content, FSR 1.0 differs significantly from FSR 2.0 – both technically and in terms of the end result.