2 papers
cs.CV2026
ELIQ: A Label-Free Framework for Quality Assessment of Evolving AI-Generated Images
Xinyue Li, Zhiming Xu, Min Tang +5
Generative text-to-image models are advancing at an unprecedented pace, continuously shifting the perceptual quality ceiling and rendering previously collected labels unreliable fo…
cs.CV2026
Decoupling Perception and Calibration: Label-Efficient Image Quality Assessment Framework
Xinyue Li, Zhichao Zhang, Zhiming Xu +4
Recent multimodal large language models (MLLMs) have demonstrated strong capabilities in image quality assessment (IQA) tasks. However, adapting such large-scale models is computat…