Given a simple anime line-art sketch the model outputs a decent colored anime image using Conditional-Generative Adversarial Networks (C-GANs) concept.
Given a simple line-art anime sketch the model should output a decent colored anime image using Conditional-Generative Adversarial Networks (C-GANs).
Implemented the anime sketch colorization using the reference(s) paper-1 below.
References:
[1] https://arxiv.org/abs/1705.01908
[2] https://machinelearningmastery.com
[3] https://github.com/soumith/ganhacks
> git clone https://github.com/sanjay235/Sketch2Color-anime-translation.git
> cd Sketch2Color-anime-translation
> conda env create -f environment.yml
> conda activate Sketch2ColorAnimeTranslation
> jupyter notebook
> python DataPreprocessing.py
Sketch2Color_Anime.ipynb
notebook.final.ipynb
notebook.At epoch 30,
At epoch 40,
At epoch 43,
Correction & Contribution are always welcome!! 😃