As a total cluebie on generative art, I would assume that the neural networks involved use linear weights and ReLU only. If the training data and the output ar

As a total cluebie on generative art, I would assume that the neural networks involved use linear weights and ReLU only. If the training data and the output are in RGB pixels, then it would be reasonable to suppose that this introduces some bias. It may not be enough to use a perceptual color space only. The gradients in skin tones, or any other complex texture, are non-linear due to lighting and curvature. Is there someone in the room who does know how things work, and whether this hypothesis is wrong or not?