I have finished part 1. And in lesson 7, Jeremy talk about the possibilities on GAN’s and he mentions making photos look like Monet paintings. I thought this would be a fun project, so i decided to be slightly original, and make something that makes paintings look like Van Gogh paintings.
I am using this small dataset: https://figshare.com/articles/From_Impressionism_to_Expressionism_Automatically_Identifying_Van_Gogh_s_Paintings/3370627
So the idea is to make something that can take any picture and make it look like it is a Van Gogh painting.
The only thing is that I am getting a little bit stuck here in the beginning. I would actually like to use feature loss, but I don’t think i can with this kind of problem. I don’t really have a Van Gogh and not Van Gogh version of my pictures.
Could i get a few pointer as to what would be a good starting point?