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Simple Tensorflow implementation of StarGAN (CVPR 2018 Oral)

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Requirements

  • Tensorflow 1.8
  • Python 3.6
> python download.py celebA

Usage

Downloading the dataset

> python download.py celebA
├── dataset
   └── celebA
       ├── train
           ├── 000001.jpg 
           ├── 000002.jpg
           └── ...
       ├── test
           ├── a.jpg (The test image that you wanted)
           ├── b.png
           └── ...
       ├── list_attr_celeba.txt (for attribute information) 

Train

  • python main.py --phase train

Test

  • python main.py --phase test
  • The celebA test image and the image you wanted run simultaneously

Pretrained model

Summary

overview

Results (128x128, wgan-gp)

Women

women

Men

men

Author

Junho Kim

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Simple Tensorflow implementation of StarGAN (CVPR 2018 Oral)

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