github-pengge/PyTorch-progressive_growing_of_gans
PyTorch implementation of Progressive Growing of GANs for Improved Quality, Stability, and Variation.
Python
Issues
- 1
download CelebA dataset and deltas files
#33 opened by dadaplm - 2
error: salt must be bytes
#24 opened by micklexqg - 1
Do you have pre-trained models?
#28 opened by penguinnnnn - 0
TypeError: float() argument must be a string or a number when I tried to create the Celeba-HQ
#32 opened by SungjinChoi1128 - 0
Where to change the weight of the layers?
#31 opened by babyjia - 0
Did u finish to use pg-gan in cycle-gan?
#30 opened by EmilyLike - 0
Possible bug in `he_init` function
#29 opened by ngoyal2707 - 0
Error when create_celebahq
#27 opened by Iris6713 - 1
Error when generating the dataset
#26 opened by ejichen - 1
- 0
how to generate png images?
#25 opened by micklexqg - 0
- 2
About GDropLayer?
#15 opened by iwtw - 0
- 0
Might be a bug during fade in
#20 opened by kunrenzhilu - 2
- 2
Green Image
#19 opened by d-acharya - 1
- 0
incompatibilities with python2
#17 opened by d-acharya - 0
Some questions about MinibatchStatConcatLayer
#16 opened by lyhangustc - 1
Why update_lr() ?
#14 opened by oneHuster - 6
- 2
torch0.3 py=3.6 RuntimeError
#12 opened by oneHuster - 2
No longer other-dataset friendly
#11 opened by jcpeterson - 6
- 1
WGAN-GP Loss
#8 opened by dougsouza - 1
Dataset other than CelebA?
#9 opened by LachlanGytha - 1
About the loss function of LSGAN
#6 opened by zhangqianhui - 3
batch sizes don't match paper
#4 opened by jcpeterson - 4
latent_size != 512 fails
#3 opened by jcpeterson - 1
About LayerNormLayer
#5 opened by lonelywm - 1
resize_activation function
#1 opened by Paseam