#Neural Rendering

A detailed review of notable AI advancements made in 2022, with an emphasis on ethical standards, governance models, and transformative applications. Offering insights on the evolution of AI, this review highlights key innovations expected to improve quality of life and calls for conscientious technology application. Includes video explanations and links to scholarly articles and code repositories for a comprehensive understanding of current AI developments.

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.

This survey provides an in-depth review of the latest methodologies and categorizations in multimodal image synthesis and editing, exploring innovative advancements in visual AI-generated content. It covers neural rendering, diffusion, and GAN-based techniques, emphasizing influential studies and projects. This resource is suitable for researchers and professionals interested in understanding the impact of generative AI on image editing, serving as a guide to the latest technologies and applications.