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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
NTIRE 2025 challenge on Text to Image Generation Model Quality Assessment
Shuhao Han, Haotian Fan, Fangyuan Kong +112
This paper reports on the NTIRE 2025 challenge on Text to Image (T2I) generation model quality assessment, which will be held in conjunction with the New Trends in Image Restoratio…
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…