Implementation of some different variants of GANs by tensorflow, Train the GAN in Google Cloud Colab, DCGAN, WGAN, WGAN-GP, LSGAN, SNGAN, RSGAN, RaSGAN, BEGAN, ACGAN, PGGAN, pix2pix, BigGAN
DCGANWGANWGAN-GPLSGANSNGANRSGANBEGANACGANPGGAN_TensorFlow is being sponsored by the following tool; please help to support us by taking a look and signing up to a free trial
Implementation of some different variants of GANs
This code is mainly implement some basic GANs about 'DCGAN', 'WGAN', 'WGAN-GP', 'LSGAN', 'SNGAN', 'RSGAN'&'RaSGAN', 'BEGAN', 'ACGAN', 'PGGAN', 'pix2pix', 'BigGAN'.
More details of these GANs, please see follow papers:
WGAN: Wasserstein gan
If your computer don't have GPU to accelerate the training process, please click Google Cloud Colab to train the GANs.
This result is using DCGAN trained about 8000 iterations.
dataset: download address: Baidu Drive password: 5egd
|Fixed label, change noise slightly|Fixed noise, change label slightly| |-|-| |||
|Dloss|Gloss|results| |-|-|-| ||||
Dataset: Google maps download address: http://efrosgans.eecs.berkeley.edu/pix2pix/datasets/maps.tar.gz
Edges2Shoes download address: http://efrosgans.eecs.berkeley.edu/pix2pix/datasets/edges2shoes.tar.gz