  We propose two procedures to create painting styles using models trained only
on natural images, providing objective proof that the model is not plagiarizing
human art styles. In the first procedure we use the inductive bias from the
artistic medium to achieve creative expression. Abstraction is achieved by
using a reconstruction loss. The second procedure uses an additional natural
image as inspiration to create a new style. These two procedures make it
possible to invent new painting styles with no artistic training data. We
believe that our approach can help pave the way for the ethical employment of
generative AI in art, without infringing upon the originality of human
creators.
