  This paper takes on the problem of transferring the style of cartoon images
to real-life photographic images by implementing previous work done by
CartoonGAN. We trained a Generative Adversial Network(GAN) on over 60 000
images from works by Hayao Miyazaki at Studio Ghibli. To evaluate our results,
we conducted a qualitative survey comparing our results with two
state-of-the-art methods. 117 survey results indicated that our model on
average outranked state-of-the-art methods on cartoon-likeness.
