GuideWsp / 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.

AnimeGAN

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

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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.

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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

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

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Results

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

------> Photo to Hayao Style

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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.