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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
Individualized Deepfake Detection Exploiting Traces Due to Double Neural-Network Operations
Individualized Deepfake Detection Exploiting Traces Due to Double Neural-Network Operations
Mushfiqur Rahman
Runze Liu
Chau-Wai Wong
Huaiyu Dai
232
2
0
13 Dec 2023
GenDet: Towards Good Generalizations for AI-Generated Image Detection
GenDet: Towards Good Generalizations for AI-Generated Image Detection
Mingjian Zhu
Hanting Chen
Mouxiao Huang
Wei Li
Hailin Hu
Jie Hu
Yunhe Wang
160
31
0
12 Dec 2023
A Representative Study on Human Detection of Artificially Generated
  Media Across Countries
A Representative Study on Human Detection of Artificially Generated Media Across Countries
Joel Frank
Franziska Herbert
Jonas Ricker
Lea Schonherr
Thorsten Eisenhofer
Asja Fischer
Markus Dürmuth
Thorsten Holz
213
27
0
10 Dec 2023
A Comprehensive Survey on Multi-modal Conversational Emotion Recognition with Deep Learning
A Comprehensive Survey on Multi-modal Conversational Emotion Recognition with Deep Learning
Yuntao Shou
Tao Meng
Wei Ai
Fangze Fu
Nan Yin
Keqin Li
281
36
0
10 Dec 2023
DeepFidelity: Perceptual Forgery Fidelity Assessment for Deepfake
  Detection
DeepFidelity: Perceptual Forgery Fidelity Assessment for Deepfake Detection
Chunlei Peng
Huiqing Guo
Decheng Liu
Nannan Wang
Ruimin Hu
Xinbo Gao
CVBM
147
5
0
07 Dec 2023
Diffusion Noise Feature: Accurate and Fast Generated Image Detection
Diffusion Noise Feature: Accurate and Fast Generated Image Detection
Yichi Zhang
Xiaogang Xu
DiffM
306
20
0
05 Dec 2023
Tracing Hyperparameter Dependencies for Model Parsing via Learnable
  Graph Pooling Network
Tracing Hyperparameter Dependencies for Model Parsing via Learnable Graph Pooling NetworkNeural Information Processing Systems (NeurIPS), 2023
Xiao Guo
Vishal Asnani
Sijia Liu
Xiaoming Liu
232
7
0
03 Dec 2023
Raising the Bar of AI-generated Image Detection with CLIP
Raising the Bar of AI-generated Image Detection with CLIP
D. Cozzolino
Giovanni Poggi
Riccardo Corvi
Matthias Nießner
L. Verdoliva
VLM
267
128
0
30 Nov 2023
Vulnerability of Automatic Identity Recognition to Audio-Visual
  Deepfakes
Vulnerability of Automatic Identity Recognition to Audio-Visual Deepfakes
Pavel Korshunov
Haolin Chen
Philip N. Garner
S´ebastien Marcel
CVBM
185
11
0
29 Nov 2023
Rethinking Image Editing Detection in the Era of Generative AI
  Revolution
Rethinking Image Editing Detection in the Era of Generative AI Revolution
Zhihao Sun
Haipeng Fang
Xinying Zhao
Danding Wang
Juan Cao
230
14
0
29 Nov 2023
Shadows Don't Lie and Lines Can't Bend! Generative Models don't know
  Projective Geometry...for now
Shadows Don't Lie and Lines Can't Bend! Generative Models don't know Projective Geometry...for nowComputer Vision and Pattern Recognition (CVPR), 2023
Ayush Sarkar
Hanlin Mai
Amitabh Mahapatra
Svetlana Lazebnik
D. A. Forsyth
Anand Bhattad
GAN
187
51
0
28 Nov 2023
PatchCraft: Exploring Texture Patch for Efficient AI-generated Image
  Detection
PatchCraft: Exploring Texture Patch for Efficient AI-generated Image Detection
Nan Zhong
Yiran Xu
Sheng Li
Zhenxing Qian
Xinpeng Zhang
270
69
0
21 Nov 2023
Finding AI-Generated Faces in the Wild
Finding AI-Generated Faces in the Wild
Gonzalo J. Aniano Porcile
Jack Gindi
Shivansh Mundra
J. Verbus
Hany Farid
CVBM
202
13
0
14 Nov 2023
GazeForensics: DeepFake Detection via Gaze-guided Spatial Inconsistency
  Learning
GazeForensics: DeepFake Detection via Gaze-guided Spatial Inconsistency LearningNeural Networks (Neural Netw.), 2023
Qinlin He
Chunlei Peng
Decheng Liu
Nannan Wang
Xinbo Gao
205
15
0
13 Nov 2023
Weakly-supervised deepfake localization in diffusion-generated images
Weakly-supervised deepfake localization in diffusion-generated images
Dragos Tantaru
Elisabeta Oneata
Dan Oneaţă
DiffM
257
36
0
08 Nov 2023
Detecting Deepfakes Without Seeing Any
Detecting Deepfakes Without Seeing Any
Tal Reiss
Bar Cavia
Yedid Hoshen
AAML
223
25
0
02 Nov 2023
Detecting Generated Images by Real Images Only
Detecting Generated Images by Real Images Only
Xiuli Bi
Bo Liu
Fan Yang
Bin Xiao
Weisheng Li
Gao Huang
P. Cosman
259
17
0
02 Nov 2023
Robust Identity Perceptual Watermark Against Deepfake Face Swapping
Robust Identity Perceptual Watermark Against Deepfake Face Swapping
Tianyi Wang
Mengxiao Huang
Harry Cheng
Bin Ma
Yinglong Wang
AAML
318
22
0
02 Nov 2023
AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image
  Detectors
AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors
You-Ming Chang
Chen Yeh
Wei-Chen Chiu
Ning Yu
VPVLMVLM
309
47
0
26 Oct 2023
Online Detection of AI-Generated Images
Online Detection of AI-Generated Images
David C. Epstein
Ishan Jain
Oliver Wang
Richard Y. Zhang
182
74
0
23 Oct 2023
Improving Video Deepfake Detection: A DCT-Based Approach with
  Patch-Level Analysis
Improving Video Deepfake Detection: A DCT-Based Approach with Patch-Level AnalysisElectronic imaging (EI), 2023
Luca Guarnera
Salvatore Manganello
Sebastiano Battiato
211
1
0
17 Oct 2023
Perceptual Artifacts Localization for Image Synthesis Tasks
Perceptual Artifacts Localization for Image Synthesis TasksIEEE International Conference on Computer Vision (ICCV), 2023
Lingzhi Zhang
Zhengjie Xu
Connelly Barnes
Yuqian Zhou
Qing Liu
Chentao Song
Sohrab Amirghodsi
Zhe Lin
Eli Shechtman
Jianbo Shi
DiffM
193
36
0
09 Oct 2023
X-Transfer: A Transfer Learning-Based Framework for GAN-Generated Fake
  Image Detection
X-Transfer: A Transfer Learning-Based Framework for GAN-Generated Fake Image DetectionIEEE International Joint Conference on Neural Network (IJCNN), 2023
Lei Zhang
Hao Chen
Shuangyan Hu
Bin Zhu
Ziming Mao
Xi Wu
Jinrong Hu
Xin Wang
211
7
0
07 Oct 2023
AI-Generated Images as Data Source: The Dawn of Synthetic Era
AI-Generated Images as Data Source: The Dawn of Synthetic Era
Zuhao Yang
Fangneng Zhan
Kunhao Liu
Muyu Xu
Shijian Lu
EGVM
359
26
0
03 Oct 2023
Guided Frequency Loss for Image Restoration
Guided Frequency Loss for Image Restoration
Bilel Benjdira
Anas M. Ali
Anis Koubaa
160
2
0
27 Sep 2023
Synthetic Image Detection: Highlights from the IEEE Video and Image
  Processing Cup 2022 Student Competition
Synthetic Image Detection: Highlights from the IEEE Video and Image Processing Cup 2022 Student CompetitionIEEE Signal Processing Magazine (IEEE Signal Process. Mag.), 2023
D. Cozzolino
Koki Nagano
Lucas A. Thomaz
A. Majumdar
L. Verdoliva
201
5
0
21 Sep 2023
Contrastive Pseudo Learning for Open-World DeepFake Attribution
Contrastive Pseudo Learning for Open-World DeepFake AttributionIEEE International Conference on Computer Vision (ICCV), 2023
Zhimin Sun
Shen Chen
Taiping Yao
Bangjie Yin
Ran Yi
Shouhong Ding
Lizhuang Ma
CVBM
201
35
0
20 Sep 2023
Controllable Dynamic Appearance for Neural 3D Portraits
Controllable Dynamic Appearance for Neural 3D PortraitsInternational Conference on 3D Vision (3DV), 2023
ShahRukh Athar
Zhixin Shu
Zexiang Xu
Fujun Luan
Sai Bi
Kalyan Sunkavalli
Dimitris Samaras
3DHCVBM
126
0
0
20 Sep 2023
Unified Frequency-Assisted Transformer Framework for Detecting and
  Grounding Multi-Modal Manipulation
Unified Frequency-Assisted Transformer Framework for Detecting and Grounding Multi-Modal ManipulationInternational Journal of Computer Vision (IJCV), 2023
Huan Liu
Zichang Tan
Qiang Chen
Yunchao Wei
Yao-Min Zhao
Jingdong Wang
118
17
0
18 Sep 2023
Self-Supervised Transformer with Domain Adaptive Reconstruction for
  General Face Forgery Video Detection
Self-Supervised Transformer with Domain Adaptive Reconstruction for General Face Forgery Video Detection
Daichi Zhang
Zihao Xiao
Jianmin Li
Shiming Ge
CVBMViT
145
2
0
09 Sep 2023
Identifying and Mitigating the Security Risks of Generative AI
Identifying and Mitigating the Security Risks of Generative AI
Clark W. Barrett
Bradley L Boyd
Ellie Burzstein
Nicholas Carlini
Brad Chen
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Zulfikar Ramzan
Khawaja Shams
Basel Alomair
Ankur Taly
Diyi Yang
SILM
293
119
0
28 Aug 2023
Open Set Synthetic Image Source Attribution
Open Set Synthetic Image Source AttributionBritish Machine Vision Conference (BMVC), 2023
Shengbang Fang
Tai D. Nguyen
Matthew C. Stamm
89
9
0
22 Aug 2023
Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection
Expecting The Unexpected: Towards Broad Out-Of-Distribution DetectionNeural Information Processing Systems (NeurIPS), 2023
Charles Guille-Escuret
Pierre-Andre Noel
Ioannis Mitliagkas
David Vazquez
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OODOODD
117
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Recap: Detecting Deepfake Video with Unpredictable Tampered Traces via
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Satoshi Tsutsui
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19 Aug 2023
RFDforFin: Robust Deep Forgery Detection for GAN-generated Fingerprint
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ForensicsForest Family: A Series of Multi-scale Hierarchical Cascade
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Jiucui Lu
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Junyu Dong
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194
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On the Trustworthiness Landscape of State-of-the-art Generative Models:
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199
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DRAW: Defending Camera-shooted RAW against Image Manipulation
DRAW: Defending Camera-shooted RAW against Image ManipulationIEEE International Conference on Computer Vision (ICCV), 2023
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201
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Self-Supervised Graph Transformer for Deepfake Detection
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Not with my name! Inferring artists' names of input strings employed by
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153
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On the Effectiveness of Spectral Discriminators for Perceptual Quality
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RetouchingFFHQ: A Large-scale Dataset for Fine-grained Face Retouching
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Jiaxin Liu
Sheng Li
Haisheng Xu
Zhenxing Qian
Xinpeng Zhang
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164
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AltFreezing for More General Video Face Forgery Detection
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Jianmin Bao
Wen-gang Zhou
Weilun Wang
Houqiang Li
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190
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TALL: Thumbnail Layout for Deepfake Video Detection
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Jian Liang
Gengyun Jia
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Probabilistic and Semantic Descriptions of Image Manifolds and Their
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Detecting Images Generated by Deep Diffusion Models using their Local Intrinsic Dimensionality
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DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection
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