4 papers · 1 filter
Bridging Adversarial and Collaborative Learning for AI-Generated Image Quality Assessment
Baoliang Chen, Qing Lin, Sijie Mai
AI-generated image quality assessment (AIGIQA) requires jointly reasoning about perceptual fidelity and prompt alignment, two quality dimensions that are often treated as independe…
Simple Lines, Big Ideas: Towards Interpretable Assessment of Human Creativity from Drawings
Zihao Lin, Zhenshan Shi, Sasa Zhao +4
Assessing human creativity through visual outputs, such as drawings, plays a critical role in fields including psychology, education, and cognitive science. However, current assess…
Q-Doc: Benchmarking Document Image Quality Assessment Capabilities in Multi-modal Large Language Models
Jiaxi Huang, Dongxu Wu, Hanwei Zhu +4
The rapid advancement of Multi-modal Large Language Models (MLLMs) has expanded their capabilities beyond high-level vision tasks. Nevertheless, their potential for Document Image…
Beyond Cosine Similarity: Magnitude-Aware CLIP for No-Reference Image Quality Assessment
Zhicheng Liao, Dongxu Wu, Zhenshan Shi +5
Recent efforts have repurposed the Contrastive Language-Image Pre-training (CLIP) model for No-Reference Image Quality Assessment (NR-IQA) by measuring the cosine similarity betwee…