A SURVEY ON CONVOLUTIONAL GENERATIVE NEURAL NETWORKS (CGNNS)

Convolutional Generative Neural Networks (CGNNs) have emerged as a powerful class of deep learning architectures for generating synthetic data. CGNNs combine the strengths of convolutional neural networks famous for their ability to learn spatial features with generative models, which are built to produce novel data instances. This survey provides