Perceptual video quality assessment plays a vital role in the field of video processing due to
the existence of quality degradations introduced in various stages of video signal …

Comparative settings (eg. pairwise choice, listwise ranking) have been adopted by a wide
range of subjective studies for image quality assessment (IQA), as it inherently standardizes …

Abstract While Multimodal Large Language Models (MLLMs) have experienced significant
advancement in visual understanding and reasoning, their potential to serve as powerful …

Quality assessment, which evaluates the visual quality level of multimedia experiences, has
garnered significant attention from researchers and has evolved substantially through …

Image Quality Assessment (IQA) is a fundamental task in computer vision that has witnessed
remarkable progress with deep neural networks. Inspired by the characteristics of the human …

In recent years the rapid development of Artificial Intelligence (AI) has facilitated the
widespread use of AI-Generated Images (AIGIs) a subset of Artificial Intelligence Generated …

The highly abstract nature of image aesthetics perception (IAP) poses a significant
challenge for current multimodal large language models (MLLMs). The lack of human …

With the development of generative models such as the diffusion model and auto-regressive
model AI-generated content (AIGC) is experiencing an explosive growth. Moreover existing …

Diffusion models have emerged as the de facto paradigm for video generation. However
their reliance on web-scale data of varied quality often yields results that are visually …

Video shakiness is an unpleasant distortion of User Generated Content (UGC) videos, which
is usually caused by the unstable hold of cameras. In recent years, many video stabilization …