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The default dcgan is used to generate 64 * 64 pictures. In this code repository, we modify the network structure to generate 128 * 128 or 256 * 256 pictures.
torch==1.2.0
torchvision==0.4.0
numpy==1.15.1
matplotlib==3.0.2
ipython==7.16.1
First, choose the net in train.py to the model you want to use.
from nets.dcgan256 import get_DCGAN
or
from nets.dcgan128 import get_DCGAN
...
Second, prepare the data set and start training.
Different parameters in the dcgan64、dcgan96、dcgan128、dcgan256
if use net/dcgan64.py
python train.py --image_size=64 --ngf=64 --ndf=64 Training effect: good
if use net/dcgan96.py
python train.py --image_size=96 --ngf=64 --ndf=64 Training effect: good
if use net/dcgan128.py
python train.py --image_size=128 --ngf=32 --ndf=32 Training effect: good
python train.py --image_size=128 --ngf=64 --ndf=64 Training effect: bad
if use net/dcgan128_1.py
python train.py --image_size=128 --ngf=64 --ndf=64 Training effect: good
if use net/dcgan256.py
python train.py --image_size=256 --ngf=64 --ndf=64 Training effect: good
PyTorch implementations of Generative Adversarial Networks [9.2k star], implemention of various gan by pytorch [cyclegan, dcgan... ] :