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cs.CV2025
Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment
Yixiao Li, Xiaoyuan Yang, Guanghui Yue +6
Many super-resolution (SR) algorithms have been proposed to increase image resolution. However, full-reference (FR) image quality assessment (IQA) metrics for comparing and evaluat…
cs.CV2025★ 1 cited
CLIP-DQA: Blindly Evaluating Dehazed Images from Global and Local Perspectives Using CLIP
Yirui Zeng, Jun Fu, Hadi Amirpour +5
Blind dehazed image quality assessment (BDQA), which aims to accurately predict the visual quality of dehazed images without any reference information, is essential for the evaluat…
cs.CV2024★ 1 cited
Vision-Language Consistency Guided Multi-modal Prompt Learning for Blind AI Generated Image Quality Assessment
Jun Fu, Wei Zhou, Qiuping Jiang +2
Recently, textual prompt tuning has shown inspirational performance in adapting Contrastive Language-Image Pre-training (CLIP) models to natural image quality assessment. However,…