5.3.10.7 AI Generated Image Quality Evaluation

Chapter Contents (Back)
Image Quality. Quality Assessment. AI-Generated Image.

Fu, J.[Jun], Zhou, W.[Wei], Jiang, Q.P.[Qiu-Ping], Liu, H.T.[Han-Tao], Zhai, G.T.[Guang-Tao],
Vision-Language Consistency Guided Multi-Modal Prompt Learning for Blind AI Generated Image Quality Assessment,
SPLetters(31), 2024, pp. 1820-1824.
IEEE DOI 2408
Task analysis, Measurement, Visualization, Transformers, Image quality, Correlation, Multi-modal prompt learning, AGIQA BibRef

Li, C.Y.[Chun-Yi], Zhang, Z.C.[Zi-Cheng], Wu, H.N.[Hao-Ning], Sun, W.[Wei], Min, X.K.[Xiong-Kuo], Liu, X.H.[Xiao-Hong], Zhai, G.T.[Guang-Tao], Lin, W.S.[Wei-Si],
AGIQA-3K: An Open Database for AI-Generated Image Quality Assessment,
CirSysVideo(34), No. 8, August 2024, pp. 6833-6846.
IEEE DOI Code:
WWW Link. 2408
Databases, Computational modeling, Measurement, Artificial intelligence, Quality assessment, Image synthesis, text-to-image alignment BibRef

Aziz, M.[Memoona], Rehman, U.[Umair], Danish, M.U.[Muhammad Umair], Grolinger, K.[Katarina],
Global-Local Image Perceptual Score (GLIPS): Evaluating Photorealistic Quality of AI-Generated Images,
HMS(55), No. 2, April 2025, pp. 223-233.
IEEE DOI 2504
Measurement, Image quality, Indexes, Visualization, Computational modeling, Visual perception, Transformers, DALL-E BibRef

Chen, Z.J.[Zi-Jian], Sun, W.[Wei], Wu, H.N.[Hao-Ning], Zhang, Z.C.[Zi-Cheng], Jia, J.[Jun], Huang, R.[Ru], Min, X.K.[Xiong-Kuo], Zhai, G.T.[Guang-Tao], Zhang, W.J.[Wen-Jun],
Study of Subjective and Objective Naturalness Assessment of AI-Generated Images,
CirSysVideo(35), No. 4, April 2025, pp. 3573-3588.
IEEE DOI Code:
WWW Link. 2504
Distortion, Image quality, Image color analysis, Internet, Visualization, Sun, Quality assessment, Cognition, Text to image, dataset BibRef

Liu, X.L.[Xue-Lin], Yan, J.B.[Jie-Bin], Lai, C.[Chenyi], Li, Y.[Yang], Fang, Y.M.[Yu-Ming],
Viewport-Independent Blind Quality Assessment of AI-Generated Omnidirectional Images via Vision-Language Correspondence,
SPLetters(32), 2025, pp. 1630-1634.
IEEE DOI 2505
Visualization, Feature extraction, Databases, Quality assessment, Predictive models, Training, Computational modeling, Vectors, blind image quality assessment BibRef

Zhou, T.W.[Tian-Wei], Tan, S.B.[Song-Bai], Li, L.[Leida], Zhao, B.Q.[Bao-Quan], Jiang, Q.P.[Qiu-Ping], Yue, G.H.[Guang-Hui],
Cross-Modality Interactive Attention Network for AI-generated image quality assessment,
PR(167), 2025, pp. 111693.
Elsevier DOI 2506
AI-generated images, Cross-modality interactive attention, Multi-task learning, Blind image quality assessment BibRef

Liu, X.L.[Xue-Lin], Yan, J.B.[Jie-Bin], Fang, Y.M.[Yu-Ming], Hou, J.W.[Jing-Wen],
Opinion-Unaware Blind Quality Assessment of AI-Generated Omnidirectional Images Based on Deep Feature Statistics,
JVCIR(110), 2025, pp. 104461.
Elsevier DOI 2506
Opinion-unaware, AI-generated content, Omnidirectional images, Blind image quality assessment
See also Opinion-Unaware Blind Stereoscopic Image Quality Assessment: A Comprehensive Study. BibRef


Yang, J.F.[Jun-Feng], Fu, J.[Jing], Zhang, W.[Wei], Cao, W.Z.[Wen-Zhi], Liu, L.[Limei], Peng, H.[Han],
MoE-AGIQA: Mixture-of-Experts Boosted Visual Perception-Driven and Semantic-Aware Quality Assessment for AI-Generated Images,
NTIRE24(6395-6404)
IEEE DOI Code:
WWW Link. 2410
Degradation, Image quality, Visualization, Source coding, Semantics, Benchmark testing, Quality assessment BibRef

Yang, L.[Liu], Duan, H.Y.[Hui-Yu], Teng, L.[Long], Zhu, Y.C.[Yu-Cheng], Liu, X.H.[Xiao-Hong], Hu, M.H.[Meng-Han], Min, X.K.[Xiong-Kuo], Zhai, G.T.[Guang-Tao], Callet, P.L.[Patrick Le],
AIGCOIQA2024: Perceptual Quality Assessment of AI Generated Omnidirectional Images,
ICIP24(1239-1245)
IEEE DOI Code:
WWW Link. 2411
Image quality, Solid modeling, Visualization, Databases, Generative AI, Benchmark testing, AI generated content (AIGC), image quality assessment BibRef

Li, C.Y.[Chun-Yi], Kou, T.C.[Teng-Chuan], Gao, Y.X.[Yi-Xuan], Cao, Y.Q.[Yu-Qin], Sun, W.[Wei], Zhang, Z.C.[Zi-Cheng], Zhou, Y.J.[Ying-Jie], Zhang, Z.C.[Zhi-Chao], Zhang, W.X.[Wei-Xia], Wu, H.N.[Hao-Ning], Liu, X.H.[Xiao-Hong], Min, X.K.[Xiong-Kuo], Zhai, G.T.[Guang-Tao],
AIGIQA-20K: A Large Database for AI-Generated Image Quality Assessment,
NTIRE24(6327-6336)
IEEE DOI Code:
WWW Link. 2410
Measurement, Image quality, Image resolution, Databases, Social networking (online), Text to image, Benchmark testing, Image Quality Assessment BibRef

Liu, X.H.[Xiao-Hong], Min, X.K.[Xiong-Kuo], Zhai, G.T.[Guang-Tao], Li, C.Y.[Chun-Yi], Kou, T.[Tengchuan], Sun, W.[Wei], Wu, H.N.[Hao-Ning], Gao, Y.X.[Yi-Xuan], Cao, Y.Q.[Yu-Qin], Zhang, Z.C.[Zi-Cheng], Wu, X.[Xiele], Timofte, R.[Radu], Peng, F.[Fei], Fu, H.Y.[Hui-Yuan], Ming, A.[Anlong], Wang, C.M.[Chuan-Ming], Ma, H.D.[Hua-Dong], He, S.[Shuai], Dou, Z.[Zifei], Chen, S.[Shu], Zhang, H.[Huacong], Xie, H.[Haiyi], Wang, C.W.[Cheng-Wei], Chen, B.Y.[Bao-Ying], Zeng, J.[Jishen], Yang, J.[Jianquan], Wang, W.G.[Wei-Gang], Fang, X.[Xi], Lv, X.X.[Xiao-Xin], Yan, J.[Jun], Zhi, T.W.[Tian-Wu], Zhang, Y.B.[Ya-Bin], Li, Y.H.[Yao-Hui], Li, Y.[Yang], Xu, J.W.[Jing-Wen], Liu, J.Z.[Jian-Zhao], Liao, Y.T.[Yi-Ting], Li, J.L.[Jun-Lin], Yu, Z.[Zihao], Guan, F.B.[Feng-Bin], Lu, Y.T.[Yi-Ting], Li, X.[Xin], Motamednia, H.[Hossein], Hosseini-Benvidi, S.F.[S. Farhad], Mahmoudi-Aznaveh, A.[Ahmad], Mansouri, A.[Azadeh], Gankhuyag, G.[Ganzorig], Yoon, K.[Kihwan], Xu, Y.F.[Yi-Fang], Fan, H.T.[Hao-Tian], Kong, F.Y.[Fang-Yuan], Zhao, S.[Shiling], Dong, W.F.[Wei-Feng], Yin, H.B.[Hai-Bing], Zhu, L.[Li], Wang, Z.L.[Zhi-Ling], Huang, B.C.[Bing-Chen], Saha, A.[Avinab], Mishra, S.[Sandeep], Gupta, S.[Shashank], Sureddi, R.[Rajesh], Saha, O.[Oindrila], Celona, L.[Luigi], Bianco, S.[Simone], Napoletano, P.[Paolo], Schettini, R.[Raimondo], Yang, J.F.[Jun-Feng], Fu, J.[Jing], Zhang, W.[Wei], Cao, W.Z.[Wen-Zhi], Liu, L.[Limei], Peng, H.[Han], Yuan, W.J.[Wei-Jun], Li, Z.[Zhan], Cheng, Y.H.[Yi-Hang], Deng, Y.F.[Yi-Fan], Li, H.[Haohui], Qu, B.[Bowen], Li, Y.[Yao], Luo, S.Q.[Shu-Qing], Wang, S.Z.[Shun-Zhou], Gao, W.[Wei], Lu, Z.[Zihao], Conde, M.V.[Marcos V.], Timofte, R.[Radu], Wang, X.R.[Xin-Rui], Chen, Z.B.[Zhi-Bo], Liao, R.[Ruling], Ye, Y.[Yan], Wang, Q.[Qiulin], Li, B.[Bing], Zhou, Z.[Zhaokun], Geng, M.[Miao], Chen, R.[Rui], Tao, X.[Xin], Liang, X.Y.[Xiao-Yu], Sun, S.K.[Shang-Kun], Ma, X.Y.[Xing-Yuan], Li, J.[Jiaze], Yang, M.[Mengduo], Xu, H.R.[Hao-Ran], Zhou, J.[Jie], Zhu, S.[Shiding], Yu, B.[Bohan], Chen, P.F.[Peng-Fei], Xu, X.R.[Xin-Rui], Shen, J.[Jiabin], Duan, Z.C.[Zhi-Chao], Asadi, E.[Erfan], Liu, J.[Jiahe], Yan, Q.[Qi], Qu, Y.[Youran], Zeng, X.H.[Xiao-Hui], Wang, L.[Lele], Liao, R.J.[Ren-Jie],
NTIRE 2024 Quality Assessment of AI-Generated Content Challenge,
NTIRE24(6337-6362)
IEEE DOI 2410
Image quality, Computational modeling, Quality assessment BibRef

Yu, Z.[Zihao], Guan, F.[Fengbin], Lu, Y.T.[Yi-Ting], Li, X.[Xin], Chen, Z.B.[Zhi-Bo],
SF-IQA: Quality and Similarity Integration for AI Generated Image Quality Assessment,
NTIRE24(6692-6701)
IEEE DOI 2410
Image quality, Measurement, Visualization, Text to image, Predictive models, Feature extraction, Excavation BibRef

Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Screen Content Image Quality Evaluation .


Last update:Sep 10, 2025 at 12:00:25