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

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coleridge72/progressive_growing_of_gans_tf

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

This repository contains the TensorFlow re-implementation (both training and sampling) of original implementation (Theano and Lasagne). The author of this repo is actively training and debugging on 1024x1024 CelebA dataset.

Please checkout our image inpainting project as well. Demo is available for high-resolution CelebA-HQ face inpainting!

Dataset: 1024x1024 CelebA faces

PNG images can be downloaded from Google Drive (download_7z).

Example High-Resolution CelebA images

Training

The author of this repo is actively training and debuging on 1024x1024 CelebA dataset. If you want to try early, please modify progressive_gan.yml accordingly and run python train.py.

TensorBoard

Visualization on TensorBoard is supported.

License

License inherits from original NVIDIA License.

Requirements

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

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