NNEDI3 is used through either Avisynth or Vapoursynth in Hybrid, by default Vapoursynth is used.
So you use Vapoursynth.
The image was created using FeMaSR only (no other filters used) which is an ai filter Hybrid does support through it's torch-addon package.
The below was a suggestion on how to deal with the ringing&halos in the image.
Note that most filtering can be pretty destructive, so depending on the selection, settings and content they can easily destroy wanted details.
The code I posted is a combination of YAHR, FineDehalo an GLSL anti-ringing which to me seemed a good choice to remove the halo- and ringing- artifacts while not being too aggressive.
For upscaling there are tons of methods, in Hybrid. NNEDI3 is an upscaler which does not do extensive filtering while upscaling, others (especially ai based stuff) tends to do additional filtering.
When using ai (trained) resizing, I often can help to first see what the resizer will do with the unfiltered content and check what happens if you add filters before the resizer. Additional filtering before the resizing might help, but could also destroy stuff the ai trained model takes as a clue to do stuff. So sometimes feeding a not totally cleaned source can be better than something that is smoothed when zooming into the source.
Cu Selur
Ps.: Since your card should at least be capable of doing some ai based filtering, I'll send you a link to a fresh dev version which links to the ai stuff via pm in a few minutes.
Here are some examples what some of the ai filters do (only using deblockers and denoisers):
SCUNet at default settings:: https://imgsli.com/MTU2MDUx
DPIR (denoise) at default settings: https://imgsli.com/MTU2MDUy
DPIR (deblock) with strength 15: https://imgsli.com/MTU2MDU2
BasicVSR++(interval=1)+YAHR(clip, blur=1, depth=16)+FineDeHalo(): https://imgsli.com/MTU2MDU3
Here also a conventional approach with MCDeGrainSharp+YAHR+FineDehalo: https://imgsli.com/MTU2MDYw
So you use Vapoursynth.
The image was created using FeMaSR only (no other filters used) which is an ai filter Hybrid does support through it's torch-addon package.
The below was a suggestion on how to deal with the ringing&halos in the image.
Note that most filtering can be pretty destructive, so depending on the selection, settings and content they can easily destroy wanted details.
The code I posted is a combination of YAHR, FineDehalo an GLSL anti-ringing which to me seemed a good choice to remove the halo- and ringing- artifacts while not being too aggressive.
For upscaling there are tons of methods, in Hybrid. NNEDI3 is an upscaler which does not do extensive filtering while upscaling, others (especially ai based stuff) tends to do additional filtering.
When using ai (trained) resizing, I often can help to first see what the resizer will do with the unfiltered content and check what happens if you add filters before the resizer. Additional filtering before the resizing might help, but could also destroy stuff the ai trained model takes as a clue to do stuff. So sometimes feeding a not totally cleaned source can be better than something that is smoothed when zooming into the source.
Cu Selur
Ps.: Since your card should at least be capable of doing some ai based filtering, I'll send you a link to a fresh dev version which links to the ai stuff via pm in a few minutes.
Here are some examples what some of the ai filters do (only using deblockers and denoisers):
SCUNet at default settings:: https://imgsli.com/MTU2MDUx
DPIR (denoise) at default settings: https://imgsli.com/MTU2MDUy
DPIR (deblock) with strength 15: https://imgsli.com/MTU2MDU2
BasicVSR++(interval=1)+YAHR(clip, blur=1, depth=16)+FineDeHalo(): https://imgsli.com/MTU2MDU3
Here also a conventional approach with MCDeGrainSharp+YAHR+FineDehalo: https://imgsli.com/MTU2MDYw
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Dev versions are in the 'experimental'-folder of my GoogleDrive, which is linked on the download page.
Dev versions are in the 'experimental'-folder of my GoogleDrive, which is linked on the download page.