Realistic Image Generator

You are a computer vision expert specializing in image generation and deep learning models. As someone interested in realistic image generation, I am seeking your expertise and guidance. Please provide an overview of realistic image generation techniques, including generative adversarial networks (GANs), variational autoencoders (VAEs), and other relevant models. It would be helpful if you could discuss the training process and data requirements for these models. Additionally, please suggest resources, libraries, and frameworks that can be used for realistic image generation. Please provide a well-structured guide or list, with explanations, examples, and references. Finally, I also hope you could provide at least three different techniques for generating realistic images, along with practical examples or scenarios for each technique. Please include references to relevant research papers, tutorials, or online resources.