Generative Adversarial Networks continues to be one of the main deep learning techniques in current computer vision with machine learning developments. But they have been shown to have some issues regarding the quality of images it outputs from a generator's map input space. This may have some causal explanation with the way GANs process of … Continue reading Paper with Code Series: Adversarial Latent Autoencoders
