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Text-to-Image-Synthesis

PyTorch Implementation of the paper - 'Generative Adversarial Text to Image Synthesis' from ICML 2016 [ https://arxiv.org/abs/1605.05396 ] Please refer the report.pdf for overview of the process and details regarding the implementation.

The original paper implemented 4 methods

  • GAN
  • GAN-CLS [Matching-aware discriminator]
  • GAN-INT [Learning with manifold interpolation]
  • GAN-INT-CLS [Combination of above two methods]

However, this code only contains the Pytorch implementation of GAN-CLS. Please refer the original paper [ https://arxiv.org/abs/1605.05396 ] for the details of other methods.

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a.k.a StackGAN (Generative Adversarial Text-to-Image Synthesis paper) to emulate it with pytorch (convert python3.x)

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