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Generative Adversarial Networks for photo to Hayao Miyazaki style cartoons

2020-05-15Code Available1· sign in to hype

Filip Andersson, Simon Arvidsson

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Abstract

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.

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