# Generative Adversarial Networks for photo to Hayao Miyazaki style cartoons

arXiv: https://arxiv.org/abs/2005.07702 · HTML: https://mlsanity.com/paper/2005.07702/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 15 May 2020.

## Built on by (most cited first, 2 of 2)

- [Real-Time Portrait Stylization on the Edge](https://mlsanity.com/paper/2206.01244/) (2022)
- [NijiGAN: Transform What You See into Anime with Contrastive Semi-Supervised Learning and Neural Ordinary Differential Equations](https://mlsanity.com/paper/2412.19455/) (2024)

## Abstract (arXiv)

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.