A comprehensive study of multimodal large language models for image quality assessment
While Multimodal Large Language Models (MLLMs) have experienced significant
advancement on visual understanding and reasoning, their potentials to serve as powerful …
advancement on visual understanding and reasoning, their potentials to serve as powerful …
Moe-agiqa: Mixture-of-experts boosted visual perception-driven and semantic-aware quality assessment for ai-generated images
Recently there has been a surge of interest in AI-Generated Image Quality Assessment
(AGIQA). Unlike images in common image quality assessment tasks AI-generated images …
(AGIQA). Unlike images in common image quality assessment tasks AI-generated images …
Learned Scanpaths Aid Blind Panoramic Video Quality Assessment
Panoramic videos have the advantage of providing an immersive and interactive viewing
experience. Nevertheless their spherical nature gives rise to various and uncertain user …
experience. Nevertheless their spherical nature gives rise to various and uncertain user …
Perceptual Quality Assessment of 360 Images Based on Generative Scanpath Representation
Despite substantial efforts dedicated to the design of heuristic models for omnidirectional (ie,
360$^\circ $) image quality assessment (OIQA), a conspicuous gap remains due to the lack …
360$^\circ $) image quality assessment (OIQA), a conspicuous gap remains due to the lack …
Pcqa: A strong baseline for aigc quality assessment based on prompt condition
The development of Large Language Models (LLM) and Diffusion Models brings the boom
of Artificial Intelligence Generated Content (AIGC). It is essential to build an effective quality …
of Artificial Intelligence Generated Content (AIGC). It is essential to build an effective quality …
Omnidirectional image quality assessment with local–global vision transformers
With the rising popularity of omnidirectional images (ODIs) in virtual reality applications, the
need for specialized image quality assessment (IQA) methods becomes increasingly critical …
need for specialized image quality assessment (IQA) methods becomes increasingly critical …
Multitask Auxiliary Network for Perceptual Quality Assessment of Non-Uniformly Distorted Omnidirectional Images
J Yan, J Rao, J Chen, Z Tan, W Liu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Omnidirectional image quality assessment (OIQA) has been widely investigated in the past
few years and achieved much success. However, most of existing studies are dedicated to …
few years and achieved much success. However, most of existing studies are dedicated to …
Spatio-Temporal Feature Integration for Quality Assessment of Stitched Omnidirectional Images
Stitched omnidirectional images are created by capturing overlapping images and
seamlessly merging them together. When observing stitched omnidirectional images, users …
seamlessly merging them together. When observing stitched omnidirectional images, users …
Eye Scanpath Prediction-based Blind Quality Assessment of Omnidirectional Images
Omnidirectional image represent a crucial form of VR technology content and capable of
capturing 360-degree information. While omnidirectional images provide a novel way for …
capturing 360-degree information. While omnidirectional images provide a novel way for …
Dog-IQA: Standard-guided Zero-shot MLLM for Mix-grained Image Quality Assessment
Image quality assessment (IQA) serves as the golden standard for all models' performance
in nearly all computer vision fields. However, it still suffers from poor out-of-distribution …
in nearly all computer vision fields. However, it still suffers from poor out-of-distribution …