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In this project, a deep convolutional Generative adversial network is used to systhesise new patterns of images. Dataset used is the famous Fashion MNIST

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Rion12/DCGAN-based-Image-synthesis

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DCGAN-based-Image-synthesis

This is an experimental tensorflow implementation of synthesizing images. The images are synthesized using the GAN-CLS Algorithm from the paper Generative Adversarial Network ImageSynthesis.

Requirements

  • [TensorFlow] 1.0+

Datasets

  • The model is currently trained on the famous Fashion-MNIST.

Codes

  • DCGAN.pynb training the model.
  • plot_utils.py helper functions for plotting Images.

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In this project, a deep convolutional Generative adversial network is used to systhesise new patterns of images. Dataset used is the famous Fashion MNIST

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