I wish something like this on gmic
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Interesting. I’m really surprised that just 68 image pairs (plus some fuzzing) were enough to train that model. 
68 image pairs make tens of thousands individual strokes…
I wish something like this on gmic
As this uses a neural network I think this post from @David_Tschumperle is the answer:
Why not the original target ones too.
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Those have a lot of double-lining that the Sketch Simplification algorithm is supposed to eliminate.
Maybe so, but a close approximation and with slider tweaking, could get even better results (didn’t really spend that much time playing with the sliders).
I don’t think you need neural networks just to simplify double lining. I’m a bit surprised, but the engrave filter here does a very good job. Adding some post-processing to the engrave filter should do the job as well.
