/AnimeGAN

A Tensorflow implementation of AnimeGAN for fast photo animation ! This is the Open source of the paper <AnimeGAN: a novel lightweight GAN for photo animation>, which uses the GAN framwork to transform real-world photos into anime images.

Primary LanguagePython

AnimeGAN

A Tensorflow implementation of AnimeGAN for fast photo animation !!!

This is the Open source of the paper <AnimeGAN: a novel lightweight GAN for photo animation>, which uses the GAN framwork to transform real-world photos into anime images.

Requirements

  • python 3.6.8
  • tensorflow-gpu 1.8
  • opencv
  • tqdm
  • numpy
  • glob
  • argparse

Usage

1. Download vgg19 or Pretrained model

vgg19.npy

Pretrained model

2. Download dataset

Link, key: 55ev

3. Do edge_smooth

eg. python edge_smooth.py --dataset Haoyao --img_size 256

3. Train

eg. python main.py --phase train --dataset Haoyao --epoch 101 --init_epoch 1

4. Test

eg. python main.py --phase test --dataset Hayao
or python test.py --checkpoint_dir checkpoint/AnimeGAN_Hayao_lsgan_300_300_1_3_10 --test_dir dataset/test/real --style_name H

Results

------> pictures from the paper 'AnimeGAN: a novel lightweight GAN for photo animation'



------> Photo to Hayao Style










Acknowledgment

This code is based on the CartoonGAN-Tensorflow and Anime-Sketch-Coloring-with-Swish-Gated-Residual-UNet. Thanks to the contributors of this project.