Research Paper#Image Quality Assessment (IQA), Artificial General Intelligence (AGI)🔬 ResearchAnalyzed: Jan 3, 2026 19:36
Psychology-Inspired AGIQA for Improved Image Quality Assessment
Published:Dec 28, 2025 04:51
•1 min read
•ArXiv
Analysis
This paper addresses the problem of semantic drift in existing AGIQA models, where image embeddings show inconsistent similarities to grade descriptions. It proposes a novel approach inspired by psychometrics, specifically the Graded Response Model (GRM), to improve the reliability and performance of image quality assessment. The use of an Arithmetic GRM (AGQG) module offers a plug-and-play advantage and demonstrates strong generalization capabilities across different image types, suggesting its potential for future IQA models.
Key Takeaways
Reference
“The Arithmetic GRM based Quality Grading (AGQG) module enjoys a plug-and-play advantage, consistently improving performance when integrated into various state-of-the-art AGIQA frameworks.”