StarGAN v2-Tensorflow - Simple Tensorflow implementation of StarGAN v2

Last update: Jul 02, 2022

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Deep Learning StarGAN_v2-Tensorflow

Overview

Official Tensorflow implementation Open ! -> Clova AI

StarGAN v2 — Un-official TensorFlow Implementation [Paper] [Pytorch]

: Diverse Image Synthesis for Multiple Domains

Overview

Architecture

Generator	Mapping Network	Style Encoder & Discriminator

Usage

├── dataset
   └── YOUR_DATASET_NAME
       ├── train
           ├── domain1 (domain folder)
               ├── xxx.jpg (domain1 image)
               ├── yyy.png
               ├── ...
           ├── domain2
               ├── aaa.jpg (domain2 image)
               ├── bbb.png
               ├── ...
           ├── domain3
           ├── ...
       ├── test
           ├── zzz.jpg (any content image)
           ├── www.png
           ├── ...

Train

python main.py --dataset celebA-HQ_gender --phase train --batch_size 2 --gpu_num 4

Test

python main.py --dataset celebA-HQ_gender --phase test

Refer test

python main.py --dataset celebA-HQ_gender --phase refer_test --refer_img_path refer_img.jpg

Our results

Author

Junho Kim

Owner

Junho Kim

Research Scientist

GitHub Repository

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StarGAN v2-Tensorflow - Simple Tensorflow implementation of StarGAN v2

Related tags

Overview

Official Tensorflow implementation Open ! -> Clova AI

StarGAN v2 — Un-official TensorFlow Implementation [Paper] [Pytorch]

: Diverse Image Synthesis for Multiple Domains

Overview

Architecture

Usage

Train

Test

Refer test

Our results

Author

Owner

Junho Kim

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