5 papers
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…
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…
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…
Advancing Video Quality Assessment for AIGC
Xinli Yue, Jianhui Sun, Han Kong +9
In recent years, AI generative models have made remarkable progress across various domains, including text generation, image generation, and video generation. However, assessing th…
Revisiting Video Quality Assessment from the Perspective of Generalization
Xinli Yue, Jianhui Sun, Liangchao Yao +8
The increasing popularity of short video platforms such as YouTube Shorts, TikTok, and Kwai has led to a surge in User-Generated Content (UGC), which presents significant challenge…