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TensorFlow implementation of "Progressive Growing of GANs for Improved Quality, Stability, and Variation"

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Progressive Growing GAN

Usage

# Prepare dataset
> python data/make_dataset.py --filename train.tfrecord  --directory path/to/celeba  

# Train network
> python main.py --train --filenames train.tfrecord  

# Generate image
> python main.py --generate  

Generated images (128×128, cherry picked)

0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3

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TensorFlow implementation of "Progressive Growing of GANs for Improved Quality, Stability, and Variation"

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  • Python 100.0%