not sure, from what i have seen until now, every tool had massive problems to distinguish form from textureyou can see this in erics post on the reflections in the windowsevery tool i've seen until now had the same problems with normalmaps and roughness and i'm not really sure if the training argument counts for this kind…
for me the value is in improving on the algorithms for tasks like denoising, height map/normal map generation, light removal, edgedetection, tiling etc. These are things that can't be done perfectly with generalised standard algorithms as they require intuition about the content of the image. ML models can provide that…