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Official TensorFlow implementation for CVPR2020 paper “Learning to Cartoonize Using White-box Cartoon Representations”

Home Page: https://medium.com/towards-artificial-intelligence/an-insiders-guide-to-cartoonization-using-machine-learning-ce3648adfe8

Python 0.62% HTML 0.04% CSS 0.04% Jupyter Notebook 99.30%

white-box-cartoonization's Introduction

Join me at www.dakshtrehan.com ; www.linkedin.com/in/dakshtrehan

Tensorflow implementation for CVPR2020 paper “Learning to Cartoonize Using White-box Cartoon Representations.

It is implementation of White Box Cartoonization with some minor tweaks.

Use Cases:



Copyright Free image downloaded from PixaBay


Copyright Free image downloaded from PixaBay


Copyright Free image downloaded from PixaBay


Copyright Free image downloaded from PixaBay

How To Use

Inference with Pre-trained Model

  • Store test images in /test_code/test_images
  • Run /test_code/cartoonize.py
  • Results will be saved in /test_code/cartoonized_images

Training from Scratch

  • Place your training data in corresponding folders in /dataset
  • Run pretrain.py, results will be saved in /pretrain folder
  • Run train.py, results will be saved in /train_cartoon folder
  • Codes are cleaned from production environment and untested
  • There may be minor problems but should be easy to resolve
  • Pre-trained VGG_19 model can be found at following url: https://drive.google.com/file/d/1j0jDENjdwxCDb36meP6-u5xDBzmKBOjJ/view?usp=sharing

Datasets

  • Due to copyright issues, we cannot provide cartoon images used for training.
  • However, these training datasets are easy to prepare
  • Scenery images are collected from Shinkai Makoto, Miyazaki Hayao and Hosoda Mamoru films
  • Clip films into frames and random crop and resize to 256x256
  • Portrait images are from Kyoto animations and PA Works
  • We use this repo(https://github.com/nagadomi/lbpcascade_animeface) to detect facial areas
  • Manual data cleaning will greatly increace both datasets quality

Citation

If you use this code for your research, please cite paper:

@InProceedings{Wang_2020_CVPR, author = {Wang, Xinrui and Yu, Jinze}, title = {Learning to Cartoonize Using White-Box Cartoon Representations}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2020} }

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