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GAN Experiments

These are experiments of trying to train GANS from scratch.

Each notebook has all the code needed to train GAN. There are 4 notebooks that differ in techniques used for training.

Below are results.

Vanilla

Vanilla

Minibatch Discrimination

Minibatch Discrimination

Augmenting images

Augments

Multiscale gradient + pixelwise norm + minibatch std + equalized learning + relativistic hinge loss

Many

DCGAN

DCGAN

DCGAN + Spectral Norm

Spectral Norm

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Various experiments with GAN architectures

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