Generative Visual

Generative visual AI focuses on creating realistic and novel images from various inputs, aiming to improve image quality and realism while addressing challenges in evaluation and efficient training. Current research emphasizes developing new metrics for assessing image realism, optimizing preference-based evaluations through online learning and crowdsourcing, and improving model efficiency through techniques like federated learning and state observers to reduce data requirements. These advancements have implications for diverse fields, including art, forensic analysis, and robotics, by enabling more efficient and effective image generation and analysis.