yejg2017 / ConGAN

Continious Generative Adversarial Network

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Continuous Adversarial Image Generator that can produce good images with relatively small number of examples and without any resolution dependencies.

While training it creates small examples of generated images into 'images/' folder and saves current model into 'saved_model/' folder. After traning you only need "Generator" part of the model to produce new images.

Model structure:


Results example:


Continious Generative Adversarial Network

License:MIT License


Language:Python 100.0%