Filip Andersson

1paper

1 Paper

GRMay 15, 2020
Generative Adversarial Networks for photo to Hayao Miyazaki style cartoons

Filip Andersson, Simon Arvidsson

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.