AIGS
The survey paper explores the developing field of AI-generated images used as data sources, emphasizing the methodologies and various uses of synthetic visual data. It categorizes the content comprehensively, focusing on generative models and neural rendering, applied across 2D and 3D visual perception and medical data synthesis. By reviewing diverse methods such as generative adversarial networks and diffusion models, the paper examines new applications in image classification, segmentation, and self-supervised learning, providing insights into the future potential of AI-generated content across different industries.
