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This approach can be equaled or bettered with no machine learning. This example allows easy comparison between common techniques. Choose image 7 to see an exa

• tgb 10y ago
  While those results are nice too, they really don't seem comparable to the ones given here. The look is too different.
• nuclai 10y ago
  (Author here.) Did you see the faces example on the GitHub page? It was a domain-specific network trained adversarially for that purpose, but I have yet to see any super-resolution of that quality with or without machine learning. Most other approaches don't even try to inject high-frequency detail into the high-resolution images because the PSNR/SSIM benchmarks drop. Until those metrics/benchmarks are dropped, there'll be little more progress in super-resolution.
• brianorwhatever 10y ago
  I ran that image through the library with the default settings and it came out with an image that is in my opinion much better than all of the approaches shown there http://imgur.com/a/moP57 http://imgur.com/a/moP57