StyleGAN-Tensorflow
Simple & Intuitive Tensorflow implementation of "A Style-Based Generator Architecture for Generative Adversarial Networks" (CVPR 2019 Oral)
Other implementation
Pretrained model
Usage
├── dataset
└── YOUR_DATASET_NAME
├── 000001.jpg
├── 000002.png
└── ...
Train
> python main.py --dataset FFHQ --img_size 1024 --gpu_num 4 --progressive True --phase train
Test
> python main.py --dataset FFHQ --img_size 1024 --progressive True --batch_size 16 --phase test
Draw
Figure02 uncurated
python main.py --dataset FFHQ --img_size 1024 --progressive True --phase draw --draw uncurated
Figure03 style mixing
python main.py --dataset FFHQ --img_size 1024 --progressive True --phase draw --draw style_mix
Figure08 truncation trick
python main.py --dataset FFHQ --img_size 1024 --progressive True --phase draw --draw truncation_trick
Architecture
Our Results (1024x1024)
Uncurated
Style mixing
Truncation trick
Generator loss graph
Discriminator loss graph
Author
Junho Kim