SphereGAN-Pytorch-implementation
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Pytorch implementation of SphereGAN(Sphere Generative Adversarial Network Based on Geometric Moment Matching)
SphereGAN-Pytorch-implementation
Pytorch implementation of SphereGAN(Sung Woo Park and Junseok Kwon)
cf) The Generator and Discriminator structures is not the same in the paper. In this repository, the Generator and Discriminator structures are used DCGAN's structures.
Requirments
Code is written in Python 3.7.3(Pytorch 1.1.0) and requires:
- Pytorch
- tqdm
Run the example
MNIST, CIFAR-10
python main.py --dataset mnist
python main.py --dataset cifar10
Results
MNIST

CIFAR-10

Reference
Sphere Generative Adversarial Network Based on Geometric Moment Matching
Sung Woo Park and Junseok Kwon. "Sphere Generative Adversarial Network Based on Geometric Moment Matching." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2019.