Convolutional Generative Neural Networks (CGNNs) present as a powerful class of deep learning architectures for generating artificial data. CGNNs combine the strengths of convolutional neural networks well-known for their ability to learn spatial features with generative models, which are created to produce novel data instances. This survey provide