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CNN-generated images are surprisingly easy to spot... for now
v1v2 (latest)

CNN-generated images are surprisingly easy to spot... for now

Computer Vision and Pattern Recognition (CVPR), 2019
23 December 2019
Sheng-Yu Wang
Oliver Wang
Richard Y. Zhang
Andrew Owens
Alexei A. Efros
    OOD
ArXiv (abs)PDFHTML

Papers citing "CNN-generated images are surprisingly easy to spot... for now"

50 / 622 papers shown
Title
LDR-Net: A Novel Framework for AI-generated Image Detection via Localized Discrepancy Representation
LDR-Net: A Novel Framework for AI-generated Image Detection via Localized Discrepancy Representation
Jiaxin Chen
Miao Hu
Dengyong Zhang
Yun Song
Xin Liao
145
2
0
23 Jan 2025
AI-Generated Music Detection and its Challenges
AI-Generated Music Detection and its ChallengesIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025
Darius Afchar
Gabriel Meseguer-Brocal
Romain Hennequin
MGen
202
4
0
20 Jan 2025
TextureCrop: Enhancing Synthetic Image Detection through Texture-based Cropping
TextureCrop: Enhancing Synthetic Image Detection through Texture-based Cropping
Despina Konstantinidou
C. Koutlis
Symeon Papadopoulos
408
5
0
17 Jan 2025
HFMF: Hierarchical Fusion Meets Multi-Stream Models for Deepfake Detection
HFMF: Hierarchical Fusion Meets Multi-Stream Models for Deepfake Detection
Anant Mehta
Bryant McArthur
Nagarjuna Kolloju
Zhengzhong Tu
234
3
0
10 Jan 2025
Multi-Channel Cross Modal Detection of Synthetic Face Images
Multi-Channel Cross Modal Detection of Synthetic Face ImagesInternational Workshop on Biometrics and Forensics (IWBF), 2023
M. Ibsen
Christian Rathgeb
S´ebastien Marcel
C. Busch
CVBM
213
4
0
31 Dec 2024
A Bias-Free Training Paradigm for More General AI-generated Image Detection
A Bias-Free Training Paradigm for More General AI-generated Image DetectionComputer Vision and Pattern Recognition (CVPR), 2024
Fabrizio Guillaro
Giada Zingarini
Ben Usman
Avneesh Sud
D. Cozzolino
L. Verdoliva
DiffM
322
19
0
23 Dec 2024
FIRE: Robust Detection of Diffusion-Generated Images via Frequency-Guided Reconstruction Error
FIRE: Robust Detection of Diffusion-Generated Images via Frequency-Guided Reconstruction ErrorComputer Vision and Pattern Recognition (CVPR), 2024
Beilin Chu
Xuan Xu
Xin Wang
Yanzhe Zhang
Weike You
Linna Zhou
DiffM
454
20
0
10 Dec 2024
Epistemic Uncertainty for Generated Image Detection
Epistemic Uncertainty for Generated Image Detection
Jun Nie
Yonggang Zhang
Tongliang Liu
Yiu-ming Cheung
Bo Han
Xinmei Tian
UQCV
225
1
0
08 Dec 2024
Behavior Backdoor for Deep Learning Models
Behavior Backdoor for Deep Learning Models
Jinqiao Wang
Pengfei Zhang
Haoyu Wang
Jian Yang
Hao Liu
Xianglong Liu
Y. X. Wei
Yao Zhao
AAML
250
0
0
02 Dec 2024
Any-Resolution AI-Generated Image Detection by Spectral Learning
Any-Resolution AI-Generated Image Detection by Spectral LearningComputer Vision and Pattern Recognition (CVPR), 2024
Dimitrios Karageorgiou
Symeon Papadopoulos
I. Kompatsiaris
Efstratios Gavves
371
16
0
28 Nov 2024
Exploring Depth Information for Detecting Manipulated Face Videos
Exploring Depth Information for Detecting Manipulated Face Videos
Haoyue Wang
Sheng Li
Ji He
Zhenxing Qian
Xinpeng Zhang
Shaolin Fan
CVBM
288
1
0
27 Nov 2024
Passive Deepfake Detection Across Multi-modalities: A Comprehensive Survey
Passive Deepfake Detection Across Multi-modalities: A Comprehensive Survey
Hong-Hanh Nguyen-Le
Van-Tuan Tran
Dinh-Thuc Nguyen
Nhien-An Le-Khac
AAML
514
4
0
26 Nov 2024
Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection
Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection
Zhiyuan Yan
Jiangming Wang
Liang Luo
Peng Jin
Ke-Yue Zhang
Shen Chen
Taiping Yao
Shouhong Ding
Baoyuan Wu
Lichao Sun
260
0
0
23 Nov 2024
FairAdapter: Detecting AI-generated Images with Improved Fairness
FairAdapter: Detecting AI-generated Images with Improved Fairness
Feng Ding
Jun Zhang
Xinan He
Jianfeng Xu
DiffM
326
6
0
22 Nov 2024
Towards More Accurate Fake Detection on Images Generated from Advanced
  Generative and Neural Rendering Models
Towards More Accurate Fake Detection on Images Generated from Advanced Generative and Neural Rendering Models
Chengdong Dong
Vijayakumar Bhagavatula
Zhenyu Zhou
Ajay Kumar
277
1
0
13 Nov 2024
Semi-Truths: A Large-Scale Dataset of AI-Augmented Images for Evaluating
  Robustness of AI-Generated Image detectors
Semi-Truths: A Large-Scale Dataset of AI-Augmented Images for Evaluating Robustness of AI-Generated Image detectorsNeural Information Processing Systems (NeurIPS), 2024
Anisha Pal
Julia Kruk
Mansi Phute
Manognya Bhattaram
Diyi Yang
Duen Horng Chau
Judy Hoffman
AAML
182
9
0
12 Nov 2024
Community Forensics: Using Thousands of Generators to Train Fake Image Detectors
Community Forensics: Using Thousands of Generators to Train Fake Image DetectorsComputer Vision and Pattern Recognition (CVPR), 2024
Jeongsoo Park
Andrew Owens
320
16
0
06 Nov 2024
Language-guided Hierarchical Fine-grained Image Forgery Detection and
  Localization
Language-guided Hierarchical Fine-grained Image Forgery Detection and LocalizationInternational Journal of Computer Vision (IJCV), 2024
Xiao Guo
Xiaohong Liu
I. Masi
Xiaoming Liu
292
23
0
31 Oct 2024
On Learning Multi-Modal Forgery Representation for Diffusion Generated Video Detection
On Learning Multi-Modal Forgery Representation for Diffusion Generated Video DetectionNeural Information Processing Systems (NeurIPS), 2024
Xiufeng Song
Xiao Guo
Junxuan Zhang
Qirui Li
Lei Bai
Xiaoming Liu
Guangtao Zhai
Xiaohong Liu
VGenDiffM
548
28
0
31 Oct 2024
Fingerprints of Super Resolution Networks
Fingerprints of Super Resolution Networks
Jeremy Vonderfecht
Feng Liu
167
1
0
29 Oct 2024
The Cat and Mouse Game: The Ongoing Arms Race Between Diffusion Models
  and Detection Methods
The Cat and Mouse Game: The Ongoing Arms Race Between Diffusion Models and Detection Methods
Linda Laurier
Ave Giulietta
Arlo Octavia
Meade Cleti
355
6
0
24 Oct 2024
ODDN: Addressing Unpaired Data Challenges in Open-World Deepfake
  Detection on Online Social Networks
ODDN: Addressing Unpaired Data Challenges in Open-World Deepfake Detection on Online Social NetworksAAAI Conference on Artificial Intelligence (AAAI), 2024
Renshuai Tao
Manyi Le
Chuangchuang Tan
Huan Liu
Haotong Qin
Yao Zhao
110
4
0
24 Oct 2024
Training Better Deep Learning Models Using Human Saliency
Training Better Deep Learning Models Using Human Saliency
Aidan Boyd
Patrick J. Tinsley
Kevin W. Bowyer
A. Czajka
247
0
0
21 Oct 2024
FAMSeC: A Few-shot-sample-based General AI-generated Image Detection
  Method
FAMSeC: A Few-shot-sample-based General AI-generated Image Detection MethodIEEE Signal Processing Letters (SPL), 2024
Juncong Xu
Yang Yang
Han Fang
Honggu Liu
Weiming Zhang
193
8
0
17 Oct 2024
MiRAGeNews: Multimodal Realistic AI-Generated News Detection
MiRAGeNews: Multimodal Realistic AI-Generated News DetectionConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Runsheng Huang
Liam Dugan
Yue Yang
Chris Callison-Burch
198
8
0
11 Oct 2024
HyperDet: Generalizable Detection of Synthesized Images by Generating
  and Merging A Mixture of Hyper LoRAs
HyperDet: Generalizable Detection of Synthesized Images by Generating and Merging A Mixture of Hyper LoRAs
Huangsen Cao
Yongwei Wang
Yinfeng Liu
Sixian Zheng
Kangtao Lv
Zhimeng Zhang
Bo Zhang
Xin Ding
Fei Wu
168
2
0
08 Oct 2024
Exploring Strengths and Weaknesses of Super-Resolution Attack in
  Deepfake Detection
Exploring Strengths and Weaknesses of Super-Resolution Attack in Deepfake Detection
D. Coccomini
R. Caldelli
Fabrizio Falchi
Claudio Gennaro
Giuseppe Amato
SupRAAML
207
0
0
05 Oct 2024
Adversarial Robustness of AI-Generated Image Detectors in the Real World
Adversarial Robustness of AI-Generated Image Detectors in the Real World
Sina Mavali
Jonas Ricker
David Pape
Yash Sharma
Asja Fischer
AAML
317
3
0
02 Oct 2024
Zero-Shot Detection of AI-Generated Images
Zero-Shot Detection of AI-Generated ImagesEuropean Conference on Computer Vision (ECCV), 2024
D. Cozzolino
Giovanni Poggi
Matthias Nießner
L. Verdoliva
365
34
0
24 Sep 2024
Fake It till You Make It: Curricular Dynamic Forgery Augmentations
  towards General Deepfake Detection
Fake It till You Make It: Curricular Dynamic Forgery Augmentations towards General Deepfake DetectionEuropean Conference on Computer Vision (ECCV), 2024
Yuzhen Lin
Wentang Song
Bin Li
Yuezun Li
Jiangqun Ni
Han Chen
Qiushi Li
168
32
0
22 Sep 2024
Deep Learning Technology for Face Forgery Detection: A Survey
Deep Learning Technology for Face Forgery Detection: A Survey
Lixia Ma
Puning Yang
Yuting Xu
Ziming Yang
Peipei Li
Huaibo Huang
191
11
0
22 Sep 2024
Present and Future Generalization of Synthetic Image Detectors
Present and Future Generalization of Synthetic Image Detectors
Pablo Bernabeu Perez
Enrique Lopez-Cuena
Dario Garcia-Gasulla
137
0
0
21 Sep 2024
Shaking the Fake: Detecting Deepfake Videos in Real Time via Active
  Probes
Shaking the Fake: Detecting Deepfake Videos in Real Time via Active Probes
Zhixin Xie
Jun Luo
152
0
0
17 Sep 2024
Detect Fake with Fake: Leveraging Synthetic Data-driven Representation
  for Synthetic Image Detection
Detect Fake with Fake: Leveraging Synthetic Data-driven Representation for Synthetic Image Detection
Hina Otake
Yoshihiro Fukuhara
Yoshiki Kubotani
Shigeo Morishima
ViT
190
1
0
13 Sep 2024
DeCLIP: Decoding CLIP representations for deepfake localization
DeCLIP: Decoding CLIP representations for deepfake localizationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Stefan Smeu
Elisabeta Oneata
Dan Oneaţă
211
11
0
12 Sep 2024
UGAD: Universal Generative AI Detector utilizing Frequency Fingerprints
UGAD: Universal Generative AI Detector utilizing Frequency FingerprintsInternational Conference on Information and Knowledge Management (CIKM), 2024
Inzamamul Alam
Muhammad Shahid Muneer
Simon Woo
267
11
0
12 Sep 2024
Learning to Discover Forgery Cues for Face Forgery Detection
Learning to Discover Forgery Cues for Face Forgery DetectionIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2024
Jiahe Tian
Peng-Wen Chen
Cai Yu
Xiaomeng Fu
Xi Wang
Jiao Dai
Jizhong Han
CVBMAAML
227
17
0
02 Sep 2024
Can We Leave Deepfake Data Behind in Training Deepfake Detector?
Can We Leave Deepfake Data Behind in Training Deepfake Detector?Neural Information Processing Systems (NeurIPS), 2024
Jikang Cheng
Zhiyuan Yan
Ying Zhang
Yuhao Luo
Zhongyuan Wang
Ying Zhang
190
36
0
30 Aug 2024
Tex-ViT: A Generalizable, Robust, Texture-based dual-branch cross-attention deepfake detector
Tex-ViT: A Generalizable, Robust, Texture-based dual-branch cross-attention deepfake detector
Deepak Dagar
Dinesh Kumar Vishwakarma
ViT
183
3
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29 Aug 2024
Semantics-Oriented Multitask Learning for DeepFake Detection: A Joint Embedding Approach
Semantics-Oriented Multitask Learning for DeepFake Detection: A Joint Embedding Approach
Mian Zou
Baosheng Yu
Yibing Zhan
Siwei Lyu
Kede Ma
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352
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29 Aug 2024
GenCA: A Text-conditioned Generative Model for Realistic and Drivable
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GenCA: A Text-conditioned Generative Model for Realistic and Drivable Codec Avatars
Keqiang Sun
Amin Jourabloo
Riddhish Bhalodia
Moustafa Meshry
Yu Rong
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Christian Haene
Jiu Xu
Sam Johnson
Hongsheng Li
Sofien Bouaziz
DiffM
173
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24 Aug 2024
Evolution of Detection Performance throughout the Online Lifespan of
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Evolution of Detection Performance throughout the Online Lifespan of Synthetic Images
Dimitrios Karageorgiou
Quentin Bammey
Valentin Porcellini
Bertrand Goupil
Denis Teyssou
Symeon Papadopoulos
212
5
0
21 Aug 2024
C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance
  Generalization in Deepfake Detection
C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake DetectionAAAI Conference on Artificial Intelligence (AAAI), 2024
Chuangchuang Tan
Renshuai Tao
Huan Liu
Guanghua Gu
Baoyuan Wu
Yao Zhao
Yunchao Wei
VLM
228
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0
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Improving Synthetic Image Detection Towards Generalization: An Image Transformation Perspective
Improving Synthetic Image Detection Towards Generalization: An Image Transformation PerspectiveKnowledge Discovery and Data Mining (KDD), 2024
Ouxiang Li
Jiayin Cai
Y. Hao
Xiaolong Jiang
Feng-Long Xie
Fuli Feng
AAML
244
35
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13 Aug 2024
ED$^4$: Explicit Data-level Debiasing for Deepfake Detection
ED4^44: Explicit Data-level Debiasing for Deepfake DetectionIEEE Transactions on Image Processing (TIP), 2024
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Ying Zhang
Qin Zou
Zhiyuan Yan
Chao Liang
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196
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Synthetic Photography Detection: A Visual Guidance for Identifying
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StealthDiffusion: Towards Evading Diffusion Forensic Detection through
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