11.14.4.7.4 Detection of AI-Generated Images

Chapter Contents (Back)
AI Generated. Deep Fakes. 2509

Liu, C.[Chang], Yu, H.[Han],
AI-Empowered Persuasive Video Generation: A Survey,
Surveys(55), No. 13s, July 2023, pp. xx-yy.
DOI Link 2309
Survey, Video Generation. storyline generation, video generation, Artificial intelligence BibRef

Ju, Y.[Yan], Jia, S.[Shan], Cai, J.L.[Jia-Ling], Guan, H.Y.[Hai-Ying], Lyu, S.W.[Si-Wei],
GLFF: Global and Local Feature Fusion for AI-Synthesized Image Detection,
MultMed(26), 2024, pp. 4073-4085.
IEEE DOI 2403
Feature extraction, Faces, Task analysis, Image synthesis, Semantics, Generative adversarial networks, Fuses, Attention Mechanism BibRef

Ju, Y.[Yan], Jia, S.[Shan], Ke, L.P.[Li-Peng], Xue, H.F.[Hong-Fei], Nagano, K.[Koki], Lyu, S.W.[Si-Wei],
Fusing Global and Local Features for Generalized AI-Synthesized Image Detection,
ICIP22(3465-3469)
IEEE DOI 2211
Deepfakes, Fuses, Forensics, Detectors, Media, Feature extraction, Generative adversarial networks, Index Terms, Attention Mechanism BibRef

Meng, Z.L.[Zhe-Ling], Peng, B.[Bo], Dong, J.[Jing], Tan, T.N.[Tie-Niu], Cheng, H.[Haonan],
Artifact feature purification for cross-domain detection of AI-generated images,
CVIU(247), 2024, pp. 104078.
Elsevier DOI Code:
WWW Link. 2408
AI-generated image detection, Cross-domain, Artifact Purification BibRef

Chen, J.Y.[Jun-Yu], An, J.[Jie], Lyu, H.[Hanjia], Kanan, C.[Christopher], Luo, J.B.[Jie-Bo],
Learning to Evaluate the Artness of AI-Generated Images,
MultMed(26), 2024, pp. 10731-10740.
IEEE DOI 2411
Image synthesis, Adaptation models, Training, Painting, Art, Neural networks, Generators, Artistic image evaluation, neural style transfer (NST) BibRef

Xu, J.C.[Jun-Cong], Yang, Y.[Yang], Fang, H.[Han], Liu, H.G.[Hong-Gu], Zhang, W.M.[Wei-Ming],
FAMSeC: A Few-Shot-Sample-Based General AI-Generated Image Detection Method,
SPLetters(32), 2025, pp. 226-230.
IEEE DOI 2501
Feature extraction, Training, Contrastive learning, Accuracy, Forgery, Semantics, Detectors, Testing, Overfitting, Training data, generative adversarial network BibRef


Nguyen, T.D.[Tai D.], Azizpour, A.[Aref], Stamm, M.C.[Matthew C.],
Forensic Self-Descriptions Are All You Need for Zero-Shot Detection, Open-Set Source Attribution, and Clustering of AI-generated Images,
CVPR25(3040-3050)
IEEE DOI 2508
Training, Adaptation models, Image coding, Filters, Forensics, Media, Generators, Microstructure, Resilience BibRef

Lin, L.[Li], Santosh, Wu, M.Y.[Ming-Yang], Wang, X.[Xin], Hu, S.[Shu],
AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark,
CVPR25(3503-3515)
IEEE DOI Code:
WWW Link. 2508
Training, Annotations, Social networking (online), Refining, Detectors, Benchmark testing, Licenses, Prediction algorithms, Faces, ai-generated face BibRef

Zhong, N.[Nan], Chen, H.Y.[Hao-Yu], Xu, Y.R.[Yi-Ran], Qian, Z.X.[Zhen-Xing], Zhang, X.P.[Xin-Peng],
Beyond Generation: A Diffusion-based Low-level Feature Extractor for Detecting AI-generated Images,
CVPR25(8258-8268)
IEEE DOI 2508
Image synthesis, Computational modeling, Noise reduction, Noise, Transforms, Detectors, Feature extraction, Diffusion models, Gaussian mixture model BibRef

Jia, Z.X.[Ze-Xi], Huang, C.[Chuanwei], Zhu, Y.[Yeshuang], Fei, H.Y.[Hong-Yan], Duan, X.Y.[Xiao-Yue], Yuan, Z.Q.[Zhi-Qiang], Deng, Y.[Ying], Zhang, J.[Jiapei], Zhang, J.C.[Jin-Chao], Zhou, J.[Jie],
Secret Lies in Color: Enhancing AI-Generated Images Detection with Color Distribution Analysis,
CVPR25(13445-13454)
IEEE DOI 2508
Training, Technological innovation, Quantization (signal), Image color analysis, Identity theft, Semantics, Benchmark testing, color distribution BibRef

Guillaro, F.[Fabrizio], Zingarini, G.[Giada], Usman, B.[Ben], Sud, A.[Avneesh], Cozzolino, D.[Davide], Verdoliva, L.[Luisa],
A Bias-Free Training Paradigm for More General AI-generated Image Detection,
CVPR25(18685-18694)
IEEE DOI Code:
WWW Link. 2508
Training, Social networking (online), Forensics, Semantics, Supervised learning, Training data, Detectors, Generators BibRef

Kundu, R.[Rohit], Xiong, H.[Hao], Mohanty, V.[Vishal], Balachandran, A.[Athula], Roy-Chowdhury, A.K.[Amit K.],
Towards a Universal Synthetic Video Detector: From Face or Background Manipulations to Fully AI-Generated Content,
CVPR25(28050-28060)
IEEE DOI 2508
Training, Deepfakes, Technological innovation, Detectors, Feature extraction, Transformers, Text to video, Faces, Standards, video authenticity BibRef

Karageorgiou, D.[Dimitrios], Papadopoulos, S.[Symeon], Kompatsiaris, I.[Ioannis], Gavves, E.[Efstratios],
Any-Resolution AI-Generated Image Detection by Spectral Learning,
CVPR25(18706-18717)
IEEE DOI Code:
WWW Link. 2508
Training, Image resolution, Generative AI, Perturbation methods, Detectors, Robustness, Generators, Noise measurement, spectral learning BibRef

Zhang, H.F.[Hai-Feng], He, Q.H.[Qing-Hui], Bi, X.L.[Xiu-Li], Li, W.S.[Wei-Sheng], Liu, B.[Bo], Xiao, B.[Bin],
Towards Universal AI-Generated Image Detection by Variational Information Bottleneck Network,
CVPR25(23828-23837)
IEEE DOI Code:
WWW Link. 2508
Representation learning, Accuracy, Codes, Computational modeling, Authentication, Image representation, Feature extraction, generalization performance BibRef

Bai, H.Y.[Hao-Yue], Sun, Y.[Yiyou], Cheng, W.[Wei], Chen, H.F.[Hai-Feng],
Where's the liability in the Generative Era? Recovery-based Black-Box Detection of AI-Generated Content,
CVPR25(28821-28830)
IEEE DOI 2508
Measurement, Limiting, Computational modeling, Scalability, Closed box, Diffusion models, Fraud, Image reconstruction, Photorealistic images BibRef

Wang, Z.[Zeqing], Ma, Q.Y.[Qing-Yang], Wan, W.T.[Wen-Tao], Li, H.J.[Hao-Jie], Wang, K.[Keze], Tian, Y.H.[Yong-Hong],
Is this Generated Person Existed in Real-world? Fine-grained Detecting and Calibrating Abnormal Human-body,
CVPR25(21226-21237)
IEEE DOI 2508
Visualization, Accuracy, Text to image, Maintenance engineering, Stability analysis, Text to video, ai generated content, vision language model BibRef

Gye, S.[Seoyeon], Ko, J.[Junwon], Shon, H.[Hyounguk], Kwon, M.[Minchan], Kim, J.[Junmo],
Reducing the Content Bias for AI-generated Image Detection,
WACV25(399-408)
IEEE DOI 2505
Image quality, Image coding, Generative AI, Perturbation methods, Semantics, Transform coding, Benchmark testing, ai-generated image detection BibRef

Khan, F.F.[Faizan Farooq], Kim, D.[Diana], Jha, D.[Divyansh], Mohamed, Y.[Youssef], Chang, H.H.[Hanna H], Elgammal, A.[Ahmed], Elliott, L.[Luba], Elhoseiny, M.[Mohamed],
AI Art Neural Constellation: Revealing the Collective and Contrastive State of AI-Generated and Human Art,
GCV24(7470-7478)
IEEE DOI 2410
Training, Surveys, Visualization, Art, Shape, Neural networks, Machine learning BibRef

Cozzolino, D.[Davide], Poggi, G.[Giovanni], Nießner, M.[Matthias], Verdoliva, L.[Luisa],
Zero-shot Detection of AI-generated Images,
ECCV24(XVIII: 54-72).
Springer DOI 2412
BibRef

Lyu, Z.H.[Zi-Hang], Xiao, J.[Jun], Zhang, C.[Cong], Lam, K.M.[Kin-Man],
AI-Generated Image Detection With Wasserstein Distance Compression and Dynamic Aggregation,
ICIP24(3827-3833)
IEEE DOI 2411
Training, Privacy, Image coding, Accuracy, Computational modeling, Redundancy, Imaging, Fake Image Detection, Efficient Training BibRef

Cozzolino, D.[Davide], Poggi, G.[Giovanni], Corvi, R.[Riccardo], Nießner, M.[Matthias], Verdoliva, L.[Luisa],
Raising the Bar of AI-generated Image Detection with CLIP,
WMF24(4356-4366)
IEEE DOI Code:
WWW Link. 2410
Training, Detectors, Feature extraction, Robustness BibRef

Porcile, G.J.A.[Gonzalo J. Aniano], Gindi, J.[Jack], Mundra, S.[Shivansh], Verbus, J.R.[James R.], Farid, H.[Hany],
Finding AI-Generated Faces in the Wild,
WMF24(4297-4305)
IEEE DOI 2410
Visualization, Image resolution, Image synthesis, Face recognition, Focusing, deepfakes, media forensics BibRef

Vahdati, D.S.[Danial Samadi], Nguyen, T.D.[Tai D.], Azizpour, A.[Aref], Stamm, M.C.[Matthew C.],
Beyond Deepfake Images: Detecting AI-Generated Videos,
WMF24(4397-4408)
IEEE DOI 2410
Training, Deepfakes, Generative AI, Forensics, Detectors, Generators, Generative AI, Synthetic images, Synthetic Videos, Media Forensics, Deepfake BibRef

Epstein, D.C.[David C.], Jain, I.[Ishan], Wang, O.[Oliver], Zhang, R.[Richard],
Online Detection of AI-Generated Images,
DFAD23(382-392)
IEEE DOI 2401
BibRef

Chapter on 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing continues in
Audio-Visuao Deep Fake, Generation, Detection .


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