Machine Learning, Deep Learning, Generative Model, Adversarial Network, Autoencoder.
to encode in latent vector to generate the output image. Rather we rely on neural networks to compute z just with an assumption that this latent vector can be well approximated as a normal distribution so as to sample easily at inference time. If we have a normal distribution of z in n dimensional