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 …

With the rapid advancement of Vision Language Models (VLMs), VLM-based Image Quality
Assessment (IQA) seeks to describe image quality linguistically to align with human …

The absorption and scattering of light in the water medium naturally impair the quality of
underwater images, leading to multiple degradation effects including color casts, reduced …

The advent of AI has influenced many aspects of human life, from self-driving cars and
intelligent chatbots to text-based image and video generation models capable of creating …

Text-to-image (T2I) generation is a pivotal and core interest within the realm of AI content
generation. Amid the swift advancements of both open-source (such as Stable Diffusion) …

With the rapid advancement of Multi-modal Large Language Models (MLLMs), MLLM-based
Image Quality Assessment (IQA) methods have shown promising performance in linguistic …

Human perception of similarity across uni-and multimodal inputs is highly complex, making it
challenging to develop automated metrics that accurately mimic it. General purpose vision …

With the rising interest in research on Large Multi-modal Models (LMMs) for video
understanding, many studies have emphasized general video comprehension capabilities …