PyTorch Implementation of CycleGAN and SSGAN for Domain Transfer (Minimal)

Related tags

Deep Learningpytorchmnistsvhndomain-transfercycle-gansemi-supervised-gan
Overview

MNIST-to-SVHN and SVHN-to-MNIST

PyTorch Implementation of CycleGAN and Semi-Supervised GAN for Domain Transfer.

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Prerequites


Usage

Clone the repository

$ git clone https://github.com/yunjey/mnist-svhn-transfer.git
$ cd mnist-svhn-transfer/

Download the dataset

$ chmod +x download.sh
$ ./download.sh

Train the model

1) CycleGAN
$ python main.py --use_labels=False --use_reconst_loss=True
2) SGAN
$ python main.py --use_labels=True --use_reconst_loss=False

Results

1) CycleGAN (should be re-uploaded)

From SVHN to MNIST From MNIST to SVHN
alt text alt text
alt text alt text

2) SGAN

From SVHN to MNIST From MNIST to SVHN
alt text alt text
alt text alt text
Owner
Yunjey Choi
Yunjey Choi
GitHub Repository
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