Skip to content
master
Go to file
Code

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

README.md

BEGAN in Tensorflow

Tensorflow implementation of BEGAN: Boundary Equilibrium Generative Adversarial Networks.

alt tag

Requirements

Usage

First download CelebA datasets with:

$ apt-get install p7zip-full # ubuntu
$ brew install p7zip # Mac
$ python download.py

or you can use your own dataset by placing images like:

data
└── YOUR_DATASET_NAME
    ├── xxx.jpg (name doesn't matter)
    ├── yyy.jpg
    └── ...

To train a model:

$ python main.py --dataset=CelebA --use_gpu=True
$ python main.py --dataset=YOUR_DATASET_NAME --use_gpu=True

To test a model (use your load_path):

$ python main.py --dataset=CelebA --load_path=CelebA_0405_124806 --use_gpu=True --is_train=False --split valid

Results

Generator output (64x64) with gamma=0.5 after 300k steps

all_G_z0_64x64

Generator output (128x128) with gamma=0.5 after 200k steps

all_G_z0_64x64

Interpolation of Generator output (64x64) with gamma=0.5 after 300k steps

interp_G0_64x64

Interpolation of Generator output (128x128) with gamma=0.5 after 200k steps

interp_G0_128x128

Interpolation of Discriminator output of real images

alt tag
alt tag
alt tag
alt tag
alt tag
alt tag
alt tag
alt tag
alt tag
alt tag
alt tag

Related works

Author

Taehoon Kim / @carpedm20

About

Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"

Topics

Resources

License

Releases

No releases published

Packages

No packages published

Contributors 4

  •  
  •  
  •  
  •  

Languages

You can’t perform that action at this time.