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\underline{AI} \underline{G}enerated \underline{C}ontent (\textbf{AIGC}) has gained widespread attention with the increasing efficiency of deep learning in content creation.
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Hamid R Sheikh, Muhammad F Sabir, and Alan C Bovik, · 2006
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Niranjan D Narvekar and Lina J Karam, · 2009
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“No-reference perceptual image quality metric using gradient profiles for jpeg2000,”
Luhong Liang, Shiqi Wang, Jianhua Chen, Siwei Ma, Debin Zhao, and Wen Gao, · 2010
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Chih-Chung Chang and Chih-Jen Lin, · 2011
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“Making a “completely blind” image quality analyzer,”
Anish Mittal, Rajiv Soundararajan, and Alan C Bovik, · 2012
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Ke Gu, Guangtao Zhai, Xiaokang Yang, Wenjun Zhang, and Longfei Liang, · 2013
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“Hybrid no-reference quality metric for singly and multiply distorted images,”
Ke Gu, Guangtao Zhai, Xiaokang Yang, and Wenjun Zhang, · 2014
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“Blind image quality assessment using joint statistics of gradient magnitude and laplacian features,”
Wufeng Xue, Xuanqin Mou, Lei Zhang, Alan C Bovik, and Xiangchu Feng, · 2014
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Ke Gu, Guangtao Zhai, Xiaokang Yang, and Wenjun Zhang, · 2014
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“A patch-structure representation method for quality assessment of contrast changed images,”
Shiqi Wang, Kede Ma, Hojatollah Yeganeh, Zhou Wang, and Weisi Lin, · 2015
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“Adam: A method for stochastic optimization,”
Diederik P Kingma and Jimmy Ba, · 2015
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“Blind quality assessment of tone-mapped images via analysis of information, naturalness, and structure,”
Ke Gu, Shiqi Wang, Guangtao Zhai, Siwei Ma, Xiaokang Yang, Weisi Lin, Wenjun Zhang, and Wen Gao, · 2016
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“Deep residual learning for image recognition,”
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun, · 2016
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“The konstanz natural video database (konvid-1k),”
Vlad Hosu, Franz Hahn, Mohsen Jenadeleh, Hanhe Lin, Hui Men, Tamás Szirányi, Shujun Li, and Dietmar Saupe, · 2017
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“Perceptual quality prediction on authentically distorted images using a bag of features approach,”
Deepti Ghadiyaram and Alan C Bovik, · 2017
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“Large-scale crowdsourced study for high dynamic range images,”
“From patches to pictures (paq-2-piq): Mapping the perceptual space of picture quality,”
Zhenqiang Ying, Haoran Niu, Praful Gupta, Dhruv Mahajan, Deepti Ghadiyaram, and Alan Bovik, · 2020
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“State-of-the-art in 360° video/image processing: Perception, assessment and compression,”
Mai Xu, Chen Li, Shanyi Zhang, and Patrick Le Callet, · 2020
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“Koniq-10k: An ecologically valid database for deep learning of blind image quality assessment,”
V. Hosu, H. Lin, T. Sziranyi, and D. Saupe, · 2020
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“A multi-dimensional aesthetic quality assessment model for mobile game images,”
Tao Wang, Wei Sun, Xiongkuo Min, Wei Lu, Zicheng Zhang, and Guangtao Zhai, · 2021
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“High-resolution image synthesis with latent diffusion models,”
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer, · 2022
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D Kundu, D Ghadiyaram, AC Bovik, and BL Evans, · 2017
Cited alongside, same era.
“Reduced-reference quality assessment of screen content images,”
Shiqi Wang, Ke Gu, Xinfeng Zhang, Weisi Lin, Siwei Ma, and Wen Gao, · 2018
Cited alongside, same era.
“Nima: Neural image assessment,”
Hossein Talebi and Peyman Milanfar, · 2018
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“Blind image quality estimation via distortion aggravation,”
Xiongkuo Min, Guangtao Zhai, Ke Gu, Yutao Liu, and Xiaokang Yang, · 2018
Cited alongside, same era.
“No-reference quality assessment of contrast-distorted images using contrast enhancement,”
Jia Yan, Jie Li, and Xin Fu, · 2019
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“Generative adversarial networks,”
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio, · 2020
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“Lggd+: Image retargeting quality assessment by measuring local and global geometric distortions,”
Zhenyu Peng, Qiuping Jiang, Feng Shao, Wei Gao, and Weisi Lin, · 2022
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“A full-reference quality assessment metric for cartoon images,”
Chunyi Li, Zicheng Zhang, Wei Sun, Xiongkuo Min, and Guangtao Zhai, · 2022
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“Distinguishing computer-generated images from photographic images: a texture-aware deep learning-based method,”
Zicheng Zhang, Wei Sun, Xiongkuo Min, Tao Wang, Wei Lu, and Guangtao Zhai, · 2022
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“Image quality assessment: From mean opinion score to opinion score distribution,”
Yixuan Gao, Xiongkuo Min, Yucheng Zhu, Jing Li, Xiao-Ping Zhang, and Guangtao Zhai, · 2022
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“Blind quality assessment for in-the-wild images via hierarchical feature fusion strategy,”
Wei Sun, Huiyu Duan, Xiongkuo Min, Li Chen, and Guangtao Zhai, · 2022
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