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All Projects → avhirupc → Progressive-Growing-Of-GANs-Pytorch-

avhirupc / Progressive-Growing-Of-GANs-Pytorch-

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Progressively growing of GANs Pytorch Implementation

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python
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Labels

deep-learningneural-networkpytorchganspytorch-ganpgganprogressively-growing-gan

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PGGAN :octocat:

This repository contains the implementation of the paper Progressive Growing of GANs for Improved Quality, Stability, and Variation in Pytorch. The following experiment will been carried out on MNIST dataset.

Tasks to do:

  • Classes for Generator,Discriminator and PGGAN
  • add_layer functions
  • adding smoothing branch
  • Training procedure.
  • Data Loader and Transforming them for training.
  • Training it on MNIST data and uploading trained model
  • minibatch discrimination
  • weight normalisation
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