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A customizable GAN that is based on the DC-GAN architecture. Can be used to generate grayscale or colored images.

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bhaumik-choksi/polyGAN

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polyGAN

polyGAN is a Generative Adversarial Network(GAN) based on the DC-GAN architecture. It is implemented using Keras in Python. polyGAN is capable of training on and generating color images as well as grayscale images of any given resolution.

It is implemented in Python using the Keras library and tested on MNIST, CIFAR10 and Chars74K image datasets.

Architecture

GAN

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Deep-Convolutional GAN (DC-GAN)

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Results

  • Using the MNIST dataset

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  • Using the CIFAR10 dataset

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  • Using alphabet images from the Chars74K dataset

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References

Radford, Alec, Luke Metz, and Soumith Chintala. "Unsupervised representation learning with deep convolutional generative adversarial networks." arXiv preprint arXiv:1511.06434 (2015).

Dependencies

  • Python 3.5
  • Numpy
  • Tensorflow
  • Keras
  • OpenCV

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A customizable GAN that is based on the DC-GAN architecture. Can be used to generate grayscale or colored images.

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