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Simple Tensorflow implementation of FusionGAN (CVPR 2018)

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PopMeshgrid/FusionGAN-Tensorflow

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FusionGAN-Tensorflow

Simple Tensorflow implementation of FusionGAN (CVPR 2018)

Requirements

  • Tensorflow 1.8
  • Python 3.6

Usage

├── dataset
  └── YOUR_DATASET_NAME
  ├── trainA
      ├── xxx.jpg (name, format doesn't matter)
 ├── yyy.png
 └── ...
  ├── trainB
 ├── zzz.jpg
 ├── www.png
 └── ...
  ├── testA
  ├── aaa.jpg 
 ├── bbb.png
 └── ...
  └── testB
 ├── ccc.jpg 
 ├── ddd.png
 └── ...

3. Train

  • python main.py --phase train --dataset pose --epoch 20

4. Test

  • python main.py --phase test --dataset pose --epoch 20

Summary

summary

Architecture

archi

Min-Pooling

min-pooling

Shape loss

shape_loss

Results

Our results

Paper results

p_result3

p_result

p_result2

Author

Junho Kim

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Simple Tensorflow implementation of FusionGAN (CVPR 2018)

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