Quality assessment of AI-based Image and Video Generation and Processing

Our research explores the quality assessment of AI-based image and video generation and processing. With the rapid development of generative and enhancement models, evaluating their visual output has become a key challenge. We focus on subjective assessment methods, structured user studies that capture human perception, and processing of the subjective data into models. The goal is to establish robust evaluation frameworks and metrics that can guide the design and benchmarking of new AI-based video technologies.