https://www.selleckchem.com/pr....oducts/elacestrant.h
The virtual inpainting of artworks provides a nondestructive mode of hypothesis visualization, and it is especially attractive when physical restoration raises too many methodological and ethical concerns. At the same time, in Cultural Heritage applications, the level of details in virtual reconstruction and their accuracy are crucial. We propose an inpainting algorithm that is based on generative adversarial network, with two generators one for edges and another one for colors. The color generator rebalances chromatically the resul
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