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Automatic Manga colorization using Generative Adversarial Networks.

License: MIT License

Python 100.00%
automatic-colorization manga deep-learning adversarial-networks generative-adversarial-network pytorch python3

mangan's Introduction

ManGAN

Automatic Manga colorization using Generative Adversarial Networks.

This project aims to color manga using GANs. For the moment, two types of GANs have been tested: pix2pix and cycle-gan. In this repo, we implemented cycle-gan in pytorch.

Project Report: here

Some of the results obtained are displayed in the following image: Rusults

This project is under development, currently, there are diffuclties to color images containing text.

Installation instructions will be updated soon as well as our learned weights for the Death Note anime.

mangan's People

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mangan's Issues

Trained model for download?

Hi, this repo and technical report look very interesting. Do you plan to provide trained model for other people to download?

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