  In this paper we address the problem of artist style transfer where the
painting style of a given artist is applied on a real world photograph. We
train our neural networks in adversarial setting via recently introduced
quadratic potential divergence for stable learning process. To further improve
the quality of generated artist stylized images we also integrate some of the
recently introduced deep learning techniques in our method. To our best
knowledge this is the first attempt towards artist style transfer via quadratic
potential divergence. We provide some stylized image samples in the
supplementary material. The source code for experimentation was written in
PyTorch and is available online in my GitHub repository.
