3 papers
cs.CV2026
iDiff: Interpretable Difference-aware Framework for Pairwise Image Quality Assessment
Xinli Yue, JianHui Sun, Tao Shao +3
Pairwise image quality assessment (IQA) in professional photography requires a model not only to identify the preferred image between two candidates, but also to provide convincing…
cs.CV2025
iDETEX: Empowering MLLMs for Intelligent DETailed EXplainable IQA
Zhaoran Zhao, Xinli Yue, Jianhui Sun +5
Image Quality Assessment (IQA) has progressed from scalar quality prediction to more interpretable, human-aligned evaluation paradigms. In this work, we address the emerging challe…
cs.CV2025
Instruction-augmented Multimodal Alignment for Image-Text and Element Matching
Xinli Yue, JianHui Sun, Junda Lu +6
With the rapid advancement of text-to-image (T2I) generation models, assessing the semantic alignment between generated images and text descriptions has become a significant resear…