References

1. PyTorch GAN: https://github.com/eriklindernoren/PyTorch-GAN
2. Generative Adversarial Nets: https://arxiv.org/pdf/1406.2661.pdf
3. GitHub: https://github.com/PacktPublishing/Mastering-PyTorch/blob/master/Chapter08/dcgan.ipynb
4. MNIST digits classification dataset: https://keras.io/api/datasets/mnist/
5. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks: https://arxiv.org/pdf/1511.06434.pdf
6. CelebA dataset: http://mmlab.ie.cuhk.edu.hk/projects/CelebA.html
7. This Is Not A Person: https://this-person-does-not-exist.com/
8. Image-to-image demo: https://affinelayer.com/pixsrv/

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