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.N.[Hao-Nan],
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
Xu, Q.[Qiang],
Mu, W.P.[Wen-Peng],
Li, J.N.[Jia-Ning],
Sun, T.F.[Tang-Feng],
Jiang, X.H.[Xing-Hao],
Advancements in AI-Generated Content Forensics:
A Systematic Literature Review,
Surveys(58), No. 3, September 2025, pp. xx-yy.
DOI Link
2511
Survey, AI Generated Content. Multimedia security, AIGC detection, diffusion model, deep learning
BibRef
Deng, J.Y.[Jing-Yi],
Lin, C.H.[Chen-Hao],
Zhao, Z.Y.[Zheng-Yu],
Liu, S.[Shuai],
Peng, Z.[Zhe],
Wang, Q.[Qian],
Shen, C.[Chao],
A Survey of Defenses Against AI-Generated Visual Media: Detection,
Disruption, and Authentication,
Surveys(58), No. 5, November 2025, pp. xx-yy.
DOI Link
2601
Survey, AI Generated Images. Visual media forensics, detection, disruption, authentication,
deepfake, diffusion models, GANs
BibRef
Yang, T.Y.[Tian-Yun],
Wang, D.[Danding],
Cao, J.[Juan],
Xu, C.[Chang],
Model Synthesis for Zero-Shot Model Attribution,
MultMed(27), 2025, pp. 8967-8980.
IEEE DOI
2601
Where did the generated image come from (which model).
Fingerprint recognition, Adaptation models, Training, Data models,
Analytical models, Computational modeling, Convolution, Accuracy,
zero-shot adaptation
BibRef
Zou, J.[Jian],
Wang, J.[Jun],
Lu, K.Z.[Ke-Zhong],
Lai, Y.X.[Ying-Xin],
Luo, K.W.[Kai-Wen],
Yu, Z.T.[Zi-Tong],
E2GenF: Universal AIGC image detection based on edge enhanced
generalizable features,
PRL(200), 2026, pp. 74-80.
Elsevier DOI Code:
WWW Link.
2601
Deepfake detection, AIGC, Edge detection operator, High pass filter
BibRef
Zhu, W.H.[Wei-Heng],
Cao, G.[Gang],
Liu, J.[Jing],
Yu, L.F.[Li-Fang],
Weng, S.W.[Shao-Wei],
Transferable Dual-Domain Feature Importance Attack Against
AI-Generated Image Detector,
SPLetters(33), 2026, pp. 818-822.
IEEE DOI
2602
Detectors, Feature extraction, Perturbation methods,
Computational modeling, Frequency-domain analysis, Closed box,
frequency domain
BibRef
Mandal, U.[Unmesh],
Setua, S.K.[Sanjit Kumar],
Sarma, S.S.[Sayan Sen],
Deepfakes and beyond in the era of AI-generated disinformation:
A systematic literature review of emerging technologies, challenges,
and policy recommendations,
JVCIR(117), 2026, pp. 104748.
Elsevier DOI
2604
Survey, Deepfakes. Deepfake generation, Deepfake detection,
AI-generated disinformation, Synthetic media, Deepfake in medicine
BibRef
Wang, H.Y.[Han-Yi],
Lan, J.[Jun],
Kang, Y.Y.[Yao-Yu],
Zhu, H.J.[Hui-Jia],
Wang, W.Q.[Wei-Qiang],
Zhang, Z.S.[Zhuo-Sheng],
Wang, S.L.[Shi-Lin],
Generalizable and Adaptive Continual Learning Framework for
AI-Generated Image Detection,
MultMed(28), 2026, pp. 2693-2704.
IEEE DOI
2604
Adaptation models, Diffusion models, Benchmark testing, Deepfakes,
Interpolation, Forgery, Feature extraction, Detectors, Transformers,
continual learning
BibRef
Ghosh, T.[Tanusree],
Naskar, R.[Ruchira],
Spatial flatness-curvature mask driven generalized detection of
synthetic images,
PRL(205), 2026, pp. 100-108.
Elsevier DOI
2605
AI-image detection, Deepfake detection, Synthetic image detection
BibRef
Yuan, P.P.[Pei-Pei],
Xie, Z.J.[Zi-Jing],
Ye, S.[Shuo],
Tao, Y.F.[Yan-Fang],
Wu, X.C.[Xiang-Cheng],
Wang, Y.L.[Yu-Long],
HRR: Hierarchical retrospection refinement for generated image
detection,
PRL(205), 2026, pp. 142-148.
Elsevier DOI
2605
Generated image detection, Multi-scale features,
Image decoupling, Additive models
BibRef
Xie, C.[Caiyun],
Ye, D.[Dengpan],
Zhang, Y.M.[Yun-Ming],
Shang, Y.Y.[Yue-Yun],
Tang, L.[Long],
Lv, Y.[Yunna],
Deng, J.C.[Jia-Cheng],
Song, J.W.[Jia-Wei],
Take Fake as Real: Realistic-Like Robust Black-Box Adversarial Attack
to Evade AIGC Detection,
CirSysVideo(36), No. 5, May 2026, pp. 6347-6360.
IEEE DOI
2605
Detectors, Security, Robustness, Forgery, Degradation, Closed box,
Transform coding, Perturbation methods, Image coding,
particle swarm optimization
BibRef
Li, J.M.[Jia-Ming],
Ou, W.H.[Wei-Hua],
Meng, D.Y.[De-Yu],
Xu, Y.[Yong],
Background-Noise-Driven Detection of Diffusion-Generated Images,
SPLetters(33), 2026, pp. 1671-1675.
IEEE DOI
2605
Filtering, Filters, Deepfakes, Videos, Pixel,
Intelligent networks, Message systems, noise residual
BibRef
Huang, Z.P.[Zhi-Peng],
Lin, L.Q.[Li-Qun],
Chen, B.L.[Bo-Lin],
Wang, Y.J.[Yan-Jie],
Zhao, T.S.[Tie-Song],
FTGID: Fine-Grained Text-Driven Framework for Universal Generative
Image Detection,
IP(35), 2026, pp. 4547-4557.
IEEE DOI
2605
Radio broadcasting, Frequency modulation, Filtering, Filters,
High frequency, Videos, Deepfakes, Generative image detection,
frequency-aware modeling
BibRef
Zhong, N.[Nan],
Zou, M.[Mian],
Xu, Y.R.[Yi-Ran],
Qian, Z.X.[Zhen-Xing],
Zhang, X.P.[Xin-Peng],
Wu, B.Y.[Bao-Yuan],
Ma, K.[Kede],
Self-Supervised AI-Generated Image Detection: A Camera Metadata
Perspective,
PAMI(48), No. 6, June 2026, pp. 6192-6207.
IEEE DOI
2605
Feature extraction, Detectors, Metadata, Generators, Cameras,
Computational modeling, Artificial intelligence, Training,
image forensics
BibRef
Wang, Y.B.[Ya-Bin],
Huang, Z.W.[Zhi-Wu],
Su, Z.[Zhou],
Prügel-Bennett, A.[Adam],
Hong, X.P.[Xiao-Peng],
Penny-Wise and Pound-Foolish in AI-Generated Image Detection,
PAMI(48), No. 7, July 2026, pp. 7707-7719.
IEEE DOI
2606
Deepfakes, Feature extraction, Artificial intelligence, Detectors,
Training, Generators, Forgery, Benchmark testing, Standards,
balanced objective
BibRef
Shi, Y.X.[Yu-Xuan],
Weng, S.W.[Shao-Wei],
Yu, L.F.[Li-Fang],
Ni, R.R.[Rong-Rong],
DCNet: Learning Similarity and Spatial Complementary Features for
Generalized AI-Generated Image Detection,
CirSysVideo(36), No. 6, June 2026, pp. 8717-8731.
IEEE DOI
2606
Detectors, Feature extraction, Diffusion models,
Biological system modeling, Noise reduction, Image synthesis,
spatial feature extraction
BibRef
Zhang, J.[Jiehua],
Li, L.[Liang],
Yan, C.G.[Cheng-Gang],
Ke, W.[Wei],
Gong, Y.H.[Yi-Hong],
Semantic Distribution and Authenticity Discrepancy Alignment for
AI-Generated Image Detection,
MultMed(28), 2026, pp. 5758-5768.
IEEE DOI
2607
Semantics, Forgery, Feature extraction, Training, Generators,
Data models, Tuning, Prototypes, Image reconstruction, Training data,
semantic distri bution alignment
BibRef
Weng, S.W.[Shao-Wei],
Li, R.[Rui],
Yu, L.F.[Li-Fang],
Yang, G.[Gaobo],
Tsai, P.W.[Pei-Wei],
DTBF: Combining Local Statistical Artifacts and Concept Alignment for
Synthetic Image Detection,
SPLetters(33), 2026, pp. 2834-2838.
IEEE DOI
2607
Modeling, Signal detection, Generative adversarial networks,
Detectors, Pixel, Robustness, Learning (artificial intelligence),
artifact and semantic features
BibRef
Li, X.L.[Xiao-Long],
Xiao, M.Y.[Meng-Yao],
Wu, H.[Haorui],
Chang, Q.[Qi],
Li, X.L.[Xiao-Long],
Zhao, Y.[Yao],
Beyond Causal Models: Multi-Scale Linear Local Attention for
AI-Generated Image Detection,
SPLetters(33), 2026, pp. 3068-3072.
IEEE DOI
2608
Modeling, Signal detection, Distance measurement, Deepfakes,
Training, LoRa, AIGC detection, forgery detection
BibRef
Zhao, S.L.[Shi-Lei],
Liu, W.X.[Wen-Xuan],
Xu, D.[Danni],
Zhou, J.T.Y.[Joey Tian-Yi],
Wang, Z.[Zheng],
PhyTrace: Tracing Physical Inconsistency in AI-Generated Images via
ISP Emulation,
IP(35), 2026, pp. 8009-8020.
IEEE DOI
2608
Modeling, Artificial intelligence, Signal detection, Color, Cameras,
Training, Image processing, Generative adversarial networks,
image signal processor
BibRef
Lu, J.J.[Jia-Jie],
Fu, Z.K.[Zhen-Kan],
Zhao, N.[Na],
Xing, L.[Long],
Wang, X.K.[Xiang-Kun],
Chen, K.J.[Ke-Jiang],
Zhang, W.M.[Wei-Ming],
Yu, N.H.[Neng-Hai],
LiteUpdate: A Lightweight Framework for Updating AI-Generated Image
Detectors,
CirSysVideo(36), No. 8, August 2026, pp. 11788-11801.
IEEE DOI
2608
Frequency modulation, Filtering,
Filters, MIMICs, model merging
BibRef
Xu, Z.P.[Zhi-Pei],
Zhang, X.Y.[Xuan-Yu],
Huang, Q.[Qing],
Zhou, X.[Xing],
Zhang, J.[Jian],
AvatarShield: Visual Reinforcement Learning for Human-Centric Synthetic
Video Detection,
IJCV(134), No. 9, September 2026, pp. 402.
Springer DOI
2608
BibRef
Bartolucci, F.[Filippo],
Salti, S.[Samuele],
Lisanti, G.[Giuseppe],
The PRISM benchmark: PhotoRealistic Image Synthesis and Manipulation
to detect generated images,
CVIU(270), 2026, pp. 104826.
Elsevier DOI
2608
Generative-ai detection, Diffusion, Benchmark, Bias, Energy-based models
BibRef
Bonechi, S.[Simone],
Andreini, P.[Paolo],
Corradini, B.T.[Barbara Toniella],
Exploring real-synthetic boundaries in diffusion latent space,
CVIU(270), 2026, pp. 104815.
Elsevier DOI
2608
Diffusion Model, Stable Diffusion,
AI-generated content representation, Latent representation properties
BibRef
Betser, R.[Roy],
Hofman, O.[Omer],
Vainshtein, R.[Roman],
Gilboa, G.[Guy],
General and Domain-Specific Zero-shot Detection of Generated Images
via Conditional Likelihood,
WACV26(7809-7820)
IEEE DOI Code:
WWW Link.
2609
Filtering, Filters, Videos, Layered division multiplexing, Pixel,
Radio access networks, Protocols, Deepfakes, CLIP
BibRef
Jia, Z.X.[Ze-Xi],
Yuan, Z.Q.[Zhi-Qiang],
Duan, X.Y.[Xiao-Yue],
Zhang, J.C.[Jin-Chao],
Zhou, J.[Jie],
Jain, A.K.[Anil K.],
CoDA: Color Distribution Probing for Efficient and Generalizable
AI-Generated Image Detection,
PAMI(48), No. 10, October 2026, pp. 12100-12115.
IEEE DOI
2609
Modeling, Color, Signal detection, Quantization (signal), Probes,
Artificial intelligence, Noise, Generators,
lightweight detection model
BibRef
Shi, H.[Hui],
Liu, M.[MingYang],
Gong, C.[ChengCheng],
EXACT: An Explainable Adaptive SemantiC-Trace framework for
AI-generated image forensics,
CVIU(271), 2026, pp. 104871.
Elsevier DOI
2609
AI-generated image forensics, Dual-evidence framework,
Semantic-trace representation, Source attribution,
Explainable forensics
BibRef
Guo, Y.[Ying],
Chen, H.[Hao],
Feng, S.Q.[Si-Qi],
Wang, Q.[Qi],
Liu, J.[Jie],
Song, W.[Wei],
Multi-modal adapter for AI-generated image detection,
CVIU(272), 2026, pp. 104900.
Elsevier DOI
2609
Multi-modal adapter, Fake aware, Cross-modal interaction,
Generalization capability, Synthetic datasets, Robustness
BibRef
Zhou, X.Y.[Xiao-Yu],
Fei, J.W.[Jian-Wei],
Dai, Y.[Yunshu],
Yu, P.[Peipeng],
Xie, J.[Jingchang],
Liu, X.[Xiang],
Xia, Z.H.[Zhi-Hua],
Piva, A.[Alessandro],
All-around forgery clues for generalizable AI-generated image
detection,
PR(181), 2027, pp. 114661.
Elsevier DOI
2609
AI-generated image detection, Low-level forensic traces,
High-level semantic features
BibRef
Li, J.[Junyi],
Liang, Y.Z.[Ying-Zhang],
Ye, W.[Wujian],
Wang, P.[Peng],
Lei, T.[Teng],
Zhang, G.H.[Guo-Hao],
Liu, Y.J.[Yi-Jun],
Dual-branch AIGC image detection leveraging integrated semantic and
frequency-domain features,
CVIU(271), 2026, pp. 104893.
Elsevier DOI
2609
AIGC image detection, Generative adversarial network,
Diffusion model, Feature fusion, Attention mechanism
BibRef
Misra, P.[Priyaranjan],
Naskar, R.[Ruchira],
Deep-synthesized image detection via multi-domain feature fusion and
explainable AI guided color model selection,
CVIU(271), 2026, pp. 104881.
Elsevier DOI
2609
Color model analysis, Deepfake detection, DeepSHAP,
Synthetic media, Binary neural network
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-Visual Deep Fake, Generation, Detection .