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AIGIQA-20K: A Large Database for AI-Generated Image Quality Assessment.

, , , , , , , , , , , , и . CoRR, (2024)

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Weixia Yan

Zhang Zhang

Meng Zhang

Methods and implementations of road-network matching. TU München, (2009)

Shuying Zhang

Chengdian Zhang

 

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Dual Head Network for No-Reference Quality Assessment Towards Realistic Night-Time Images., , , , и . IEEE Access, (2020)Language-guided Navigation via Cross-Modal Grounding and Alternate Adversarial Learning., , , и . CoRR, (2020)A Comparative Study of Perceptual Quality Metrics for Audio-driven Talking Head Videos., , , , , и . CoRR, (2024)Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective., , , , и . CVPR, стр. 14071-14081. IEEE, (2023)Perceptual Attacks of No-Reference Image Quality Models with Human-in-the-Loop., , , , , , и . NeurIPS, (2022)Continual Learning for Blind Image Quality Assessment., , , , , и . IEEE Trans. Pattern Anal. Mach. Intell., 45 (3): 2864-2878 (марта 2023)Erratum to: Refining deep convolutional features for improving fine-grained image recognition., , , , и . EURASIP J. Image Video Process., (2017)AIGIQA-20K: A Large Database for AI-Generated Image Quality Assessment., , , , , , , , , и 3 other автор(ы). CoRR, (2024)AIS 2024 Challenge on Video Quality Assessment of User-Generated Content: Methods and Results., , , , , , , , , и 26 other автор(ы). CoRR, (2024)Blind Image Quality Assessment Based on Natural Redundancy Statistics., , и . ACCV (4), том 10114 из Lecture Notes in Computer Science, стр. 3-18. Springer, (2016)