/SNGAN

A Pytorch implementation of "Spectral Normalization for Generative Adversarial Networks"

Primary LanguagePython

Pytorch Implementation of SN-GAN with CIFAR10

Requirements

nsml

Paper

Spectral Normalization for Generative Adversarial Networks

Run Example

nsml run -d cifar10_python -a "--sn"                   # Spectralnorm
nsml run -d cifar10_python                             # No SN
nsml run -d cifar10_python -a "--sn --inception_score" # Calculate Inception score

Of course, executing python main.py will do well if you make empty functions for nsml.

Architecture

GAN Architecture is adopted from the papers' Appendix B.4 for CIFAR10

Results

Generated images

Loss