Synthetic image generation is a research field and methodological approach concerned with the computational creation of visual data that does not originate from physical sensors. It investigates algorithmic techniques and generative models for producing images with specified characteristics or distributions, holding significant importance for applications such as data augmentation, simulation, and the development of novel visual content.