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dcgan-tensorflow

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We aim to generate realistic images from text descriptions using GAN architecture. The network that we have designed is used for image generation for two datasets: MSCOCO and CUBS.

  • Updated May 7, 2018
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This repository provides codes with datasets for the generation of synthesis images of Covid-19 Chest X-ray using DCGAN as generator and ResNet50 as discriminator from a set of raw covid-19 chest x-ray images, which are enhanced and segmented before passing through the DCGAN model.

  • Updated May 18, 2022
  • Jupyter Notebook

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