Convolutional Generative Neural Networks (CGNNs) have emerged as a powerful class of deep learning architectures for generating realistic data. CGNNs fuse the strengths of convolutional neural networks renowned for their ability to learn spatial CGNN features with generative models, which are created to produce novel data instances. This survey pro