Official PyTorch implementation of "Synthesis of Screentone Patterns of Manga Characters"

Last update: Nov 20, 2021

Overview

Manga Character Screentone Synthesis

Official PyTorch implementation of "Synthesis of Screentone Patterns of Manga Characters" presented in IEEE ISM 2019. I only provide a demo script now.

Environment

pip install requirements.txt -f https://download.pytorch.org/whl/lts/1.8/torch_lts.html

Usage

Dataset Preparation

Crop manga character images along with the bounding boxes of "body" annotation in Manga109.
Extract line drawings from manga character images using theano implementation. You can also use official PyTorch implementation. (I used the theano implementation for our experiments in our paper. I checked that the PyTorch implementation also works well.)

Inference

# download a pre-trained model
wget https://github.com/kktsubota/manga-character-screentone/releases/download/pre/model.pth

# apply a screentone generator
python apply_gen.py <path to a line-drawing image> --model_path model.pth

# render a manga image
python render.py <path to a line-drawing image> label.png

Contact

Please contact me via e-mail if you have any troubles when running this code. My e-mail address is shown in our paper.

Acknowledgements

I thank to Chengze Li for providing a code that renders screentones.
Some parts of our code are borrowed from https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix.

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Official PyTorch implementation of "Synthesis of Screentone Patterns of Manga Characters"

Related tags

Overview

Manga Character Screentone Synthesis

Environment

Usage

Dataset Preparation

Inference

Contact

Links

Acknowledgements

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Releases(v2.1)

v2.1(Nov 18, 2021)

v2(Nov 18, 2021)

v1(Nov 17, 2021)

pre(Nov 17, 2021)

Owner

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