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 …

We introduce Cambrian-1, a family of multimodal LLMs (MLLMs) designed with a vision-
centric approach. While stronger language models can enhance multimodal capabilities, the …

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 …

Abstract The advent of Large Language Models (LLMs) has significantly transformed
research across natural and social sciences, offering new paradigms for understanding …

We introduce a Depict ed image Q uality A ssessment method (DepictQA), overcoming the
constraints of traditional score-based methods. DepictQA allows for detailed, language …

The explosion of visual content available online underscores the requirement for an
accurate machine assessor to robustly evaluate scores across diverse types of visual …

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 …

Due to the diversity of assessment requirements in various application scenarios for the IQA
task, existing IQA methods struggle to directly adapt to these varied requirements after …