If you run the CupScale and click the Dependency checker, Its second icon from the left on the top right side menu bar, there is an option to install embedded Python and automatically install all of the dependencies.īut I like to install them myself so in addition to CupScale, you need to install Python 3, PyTorch, and OpenCV. There is an automated installer for all dependencies. Giving enthusiasts a way to use advanced upscaling on their own images truly speaks to the differences between proprietary and open-source solutions.Installation of CupScale is simple but does require several steps as a one-click installer is not made yet but according to the GitHub page, it is planned. Via its GPUOpen initiative, AMD is providing a free image upscaling technique that outputs a very respectable image, despite it being unwieldy to have to use the command line. Comparatively, the image that uses AMD FSR has more preserved detail in the eyes, the bokeh is much smoother and the sharpening looks much better too. The AMD FSR image breaks this smooth transition, and you can see the upscale artifacts (multiplied by the RCAS pass they're already present after the upsampling pass) in the AMD FSR image.īut AMD's effort is still a good one, as you can tell if you compare it to the bilinear upsample. You can see the higher detail on the limbal rings in the eyes. The fifth image is the AMD FSR result after the EASU pass but before the final (RCAS) pass.Ĭlearly, Gigapixel AI presents a much clearer and more impressive upscale. The fourth image is the same base image but upscaled with a generic bilinear upsampling. Third is the final output image from the AMD FSR image upscaler and the one you should compare with the base and Topaz Labs' result. The second image was processed using Topaz Labs' Gigapixel AI software, one of the most popular tools for upscaling pictures and upscaled to 3480 x 2552 (I tried to approximate 4K resolution as much as possible whilst keeping the aspect ratio).

The first is the low-resolution original at 960 x 638 pixels.

In the gallery embedded above are four images with descriptions detailing the settings used.

Gigapixel video upscaling