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Important links for reading material :

  1. Why momentum of the optimizer is important : https://distill.pub/2017/momentum/
  2. This paper explains about checkerboard pattern problem and how they are not exclusive to GANs, but can occur in any neural network that employs them - https://distill.pub/2016/deconv-checkerboard/
  3. pytorch DCGAN tutorial - https://pytorch.org/tutorials/beginner/dcgan_faces_tutorial.html

Important papers related to GANs :

  1. Generative Adversarial Networks(2014)- https://arxiv.org/abs/1406.2661
  2. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks (DCGAN) (2016)- https://arxiv.org/abs/1511.
  3. Temporal Generative Adversarial Nets with Singular Value Clipping (TGAN) (2017)- https://arxiv.org/abs/1611.06624

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