znxlwm/pytorch-CartoonGAN znxlwm/pytorch-CartoonGAN

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  • Created over 6 years ago
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znxlwm/pytorch-CartoonGAN
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Repository Details

Pytorch implementation of CartoonGAN (CVPR 2018)

pytorch-CartoonGAN

Pytorch implementation of CartoonGAN [1] (CVPR 2018)

  • Parameters without information in the paper were set arbitrarily.
  • I used face-cropped celebA (src) and anime (tgt) collected from the web data because I could not find the author's data.

Tensorflow version

CartoonGAN-tensorflow

Usage

1.Download VGG19

VGG19

2.Train

python CartoonGAN.py --name your_project_name --src_data src_data_path --tgt_data tgt_data_path --vgg_model pre_trained_VGG19_model_path

Folder structure

The following shows basic folder structure.

β”œβ”€β”€ data
β”‚   β”œβ”€β”€ src_data # src data (not included in this repo)
β”‚   β”‚   β”œβ”€β”€ train 
β”‚   β”‚   └── test
β”‚   └── tgt_data # tgt data (not included in this repo)
β”‚       β”œβ”€β”€ train 
β”‚       └── pair # edge-promoting results to be saved here
β”‚
β”œβ”€β”€ CartoonGAN.py # training code
β”œβ”€β”€ edge_promoting.py
β”œβ”€β”€ utils.py
β”œβ”€β”€ networks.py
└── name_results # results to be saved here

Resutls

paper results

celebA2anime face

Initialization phase (reconstruction)

Input - Result (this repo)

Cartoonization

Input - Result (this repo) Author's pre-trained model (Hayao) Author's pre-trained model (Hosoda)

Development Environment

  • NVIDIA GTX 1080 ti
  • cuda 8.0
  • python 3.5.3
  • pytorch 0.4.0
  • torchvision 0.2.1
  • opencv 3.2.0

Reference

[1] Chen, Yang, Yu-Kun Lai, and Yong-Jin Liu. "CartoonGAN: Generative Adversarial Networks for Photo Cartoonization." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2018.

(Full paper: http://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_CartoonGAN_Generative_Adversarial_CVPR_2018_paper.pdf)

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