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I evaluated this software against the state of the art for learned upsamplers at 60 FPS, targeting both desktop GPUs and Intel iGPUs, and 1920x1080 output resolution. The results are detailed here: https://catid.io/posts/tiny_sr/
Perhaps I'm not using the software correctly. To experiment, this is my methodology:
It compiles cleanly with Visual Studio 2022 on Windows. If you build the DX12 sample, add images under NVIDIAImageScaling\samples\bin\DX12\media\images, run the DX12 sample application, and then select 50% scale and one of the images from the drop-down, you can press the S key to have it save the image to NVIDIAImageScaling\samples\bin\DX12\dump.png.
Please advise if there is a better way to evaluate the performance of the upsampler on a given PNG image.
The text was updated successfully, but these errors were encountered:
I evaluated this software against the state of the art for learned upsamplers at 60 FPS, targeting both desktop GPUs and Intel iGPUs, and 1920x1080 output resolution. The results are detailed here: https://catid.io/posts/tiny_sr/
Perhaps I'm not using the software correctly. To experiment, this is my methodology:
It compiles cleanly with Visual Studio 2022 on Windows. If you build the DX12 sample, add images under NVIDIAImageScaling\samples\bin\DX12\media\images, run the DX12 sample application, and then select 50% scale and one of the images from the drop-down, you can press the S key to have it save the image to NVIDIAImageScaling\samples\bin\DX12\dump.png.
Please advise if there is a better way to evaluate the performance of the upsampler on a given PNG image.
The text was updated successfully, but these errors were encountered: