I wish something like this on gmic
Interesting. Iām really surprised that just 68 image pairs (plus some fuzzing) were enough to train that model.
68 image pairs make tens of thousands individual strokesā¦
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.
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 (didnāt really spend that much time playing with the sliders).
I donāt think you need neural networks just to simplify double lining. Iām 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.