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by Jack000 3114 days ago
there are logos that are compositional, but most logos are abstractive - eg. the hammer and sickle logo only makes sense because we have prior knowledge of what hammers and sickles look like. You could learn an abstract representation of hammers from a dataset of hammers, but not from a dataset of logos.

I think GANs work best on images with hierarchical composition like human faces.