-VAE: VAE with disentangled latent representations
In Chapter 6, Disentangled Representation GANs, the concept, and importance of the disentangled representation of latent codes were discussed. We can recall that a disentangled representation is where single latent units are sensitive to changes in single generative factors while being relatively invariant to changes in other factors [3]. Varying a latent code results to changes in one attribute of the generated output while the rest of the properties remain the same.
In the same chapter, InfoGANs [4] demonstrated to us that in the MNIST dataset, it is possible to control which digit to generate ...
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