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
Wang, Y.W.[Yi-Wen],
Liang, Y.[Ying],
Zhang, Y.X.[Yu-Xuan],
Chai, X.N.[Xin-Ning],
Cheng, Z.X.[Zheng-Xue],
Qin, Y.S.[Ying-Sheng],
Yang, Y.[Yucai],
Xie, R.[Rong],
Song, L.[Li],
Enhanced Semantic Extraction and Guidance for UGC Image Super
Resolution,
NTIRE25(1412-1421)
IEEE DOI Code:
WWW Link.
2512
User generated content.
Degradation, Training, Superresolution, Semantics,
Feature extraction, Distortion, Image reconstruction,
Synthetic data
BibRef
Xia, J.[Jili],
He, L.[Lihuo],
Deng, C.[Cheng],
Li, L.[Leida],
Gao, X.B.[Xin-Bo],
AI-Generated Image Quality Assessment Based on Task-Specific Prompt
and Multi-Granularity Similarity,
IP(34), 2025, pp. 8216-8228.
IEEE DOI
2512
Feature extraction, Computational modeling, Quality assessment,
Image quality, Visualization, Distortion, Semantics, similarity measurement
BibRef
Shinde, T.[Tushar],
Eswaran, S.[Shivaanee],
Uncertainty-Guided Style-Aware Probabilistic Perceptual Quality
Assessment for AI-Generated Images,
WiCV25(3397-3405)
IEEE DOI
2512
Uncertainty, Accuracy, Computational modeling, Predictive models,
Probabilistic logic, Solids, Robustness, Quality assessment,
style classification
BibRef
Zhang, W.X.[Wei-Xia],
Zheng, B.K.[Bing-Kun],
Chen, J.L.[Jun-Lin],
Wang, Z.H.[Zhi-Hua],
Multi-Dimensional Quality Assessment for UGC Videos via Modular
Multi-Modal Vision-Language Models,
NTIRE25(1548-1557)
IEEE DOI Code:
WWW Link.
2512
Adaptation models, Social networking (online), Source coding,
User-generated content, Predictive models, Robustness,
multi-dimensional distribution learning
BibRef
Qi, Z.[Zelu],
Shi, P.[Ping],
Zhang, C.Y.[Chao-Yang],
Wang, S.Q.[Shu-Qi],
Zhao, F.[Fei],
Pan, D.[Da],
Ying, Z.F.[Ze-Feng],
Towards Holistic Visual Quality Assessment of AI-Generated Videos:
A LLM-Based Multi-Dimensional Evaluation Model,
NTIRE25(1484-1493)
IEEE DOI
2512
Training, Visualization, Semantics, Evaluation models, Production,
Cognition, Regulation, Quality assessment, Prompt engineering, Videos
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],
Le Callet, P.[Patrick],
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.B.[Feng-Bin],
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 .