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We propose a new method to detect deepfake images using the cue of the source feature inconsistency within the forged images.
Poisson image editing
Patrick Pérez, Michel Gangnet, and Andrew Blake · 2003
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Image quality assessment: from error visibility to structural similarity
Zhou Wang, Alan C Bovik, Hamid R Sheikh, and Eero P Simoncelli · 2004
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Determining digital image origin using sensor imperfections
Jan Lukas, Jessica Fridrich, and Miroslav Goljan · 2005
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ImageNet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Face recognition in unconstrained videos with matched background similarity
Lior Wolf, Tal Hassner, and Itay Maoz · 2011
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2015
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U-Net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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First steps toward camera model identification with convolutional neural networks
Luca Bondi, Luca Baroffio, David Güera, Paolo Bestagini, Edward J Delp, and Stefano Tubaro · 2016
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Deep Residual Learning for Image Recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Face2Face: Real-time Face Capture and Reenactment of RGB Videos
J. Thies, M. Zollhöfer, M. Stamminger, C. Theobalt, and M. Nießner · 2016
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Aligned and non-aligned double jpeg detection using convolutional neural networks
Mauro Barni, Luca Bondi, Nicolò Bonettini, Paolo Bestagini, Andrea Costanzo, Marco Maggini, Benedetta Tondi, and Stefano Tubaro · 2017
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How far are we from solving the 2D & 3D face alignment problem? (and a dataset of 230,000 3D facial landmarks)
Adrian Bulat and Georgios Tzimiropoulos · 2017
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MoFA: Model-based deep convolutional face autoencoder for unsupervised monocular reconstruction
Ayush Tewari, Michael Zollhofer, Hyeongwoo Kim, Pablo Garrido, Florian Bernard, Patrick Perez, and Christian Theobalt · 2017
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Two-stream neural networks for tampered face detection
P. Zhou, X. Han, V. I. Morariu, and L. S. Davis · 2017
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Mesonet: a compact facial video forgery detection network
Darius Afchar, Vincent Nozick, Junichi Yamagishi, and Isao Echizen · 2018
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Deepfake video detection using recurrent neural networks
David Güera and Edward J Delp · 2018
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Fighting fake news: Image splice detection via learned self-consistency
Minyoung Huh, Andrew Liu, Andrew Owens, and Alexei A. Efros · 2018
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DeepFakes: a new threat to face recognition? assessment and detection
Pavel Korshunov and Sebastien Marcel · 2018
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FaceSwap, 2018
Marek Kowalski · 2018
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In ictu oculi: Exposing ai created fake videos by detecting eye blinking
Yuezun Li, Ming-Ching Chang, and Siwei Lyu · 2018
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Learned forensic source similarity for unknown camera models
Owen Mayer and Matthew C Stamm · 2018
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The devil of face recognition is in the noise
Fei Wang, Liren Chen, Cheng Li, Shiyao Huang, Yanjie Chen, Chen Qian, and Chen Change Loy · 2018
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Non-local neural networks
Xiaolong Wang, Ross Girshick, Abhinav Gupta, and Kaiming He · 2018
Cited alongside, same era.
Revisiting multiple instance neural networks
Xinggang Wang, Yongluan Yan, Peng Tang, Xiang Bai, and Wenyu Liu · 2018
Cited alongside, same era.
Exposing deep fakes using inconsistent head poses
Xin Yang, Yuezun Li, and Siwei Lyu · 2018
Cited alongside, same era.
The deepfake detection challenge (dfdc) preview dataset
Brian Dolhansky, Russ Howes, Ben Pflaum, Nicole Baram, and Cristian Canton Ferrer · 2019
Cited alongside, same era.
Contributing data to deepfake detection research, 2019
Nick Dufour and Andrew Gully · 2019
Cited alongside, same era.
Deepfakes, 2019
FaceSwapDevs · 2019
Cited alongside, same era.
The deepfake detection challenge dataset
Brian Dolhansky, Joanna Bitton, Ben Pflaum, Jikuo Lu, Russ Howes, Menglin Wang, and Cristian Canton Ferrer · 2020
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Yihao Huang, Felix Juefei-Xu, Run Wang, Xiaofei Xie, Lei Ma, Jianwen Li, Weikai Miao, Yang Liu, and Geguang Pu · 2020
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DeeperForensics-1.0: A large-scale dataset for real-world face forgery detection
Liming Jiang, Ren Li, Wayne Wu, Chen Qian, and Chen Change Loy · 2020
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Detecting deepfakes with metric learning
Akash Kumar and Arnav Bhavsar · 2020
Closest in time.
Advancing high fidelity identity swapping for forgery detection
Lingzhi Li, Jianmin Bao, Hao Yang, Dong Chen, and Fang Wen · 2020
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A style-based generator architecture for generative adversarial networks
Tero Karras, Samuli Laine, and Timo Aila · 2019
Cited alongside, same era.
Analyzing and improving the image quality of StyleGAN
Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, and Timo Aila · 2019
Cited alongside, same era.
Exposing deepfake videos by detecting face warping artifacts
Yuezun Li and Siwei Lyu · 2019
Cited alongside, same era.
STGAN: A unified selective transfer network for arbitrary image attribute editing
Ming Liu, Yukang Ding, Min Xia, Xiao Liu, Errui Ding, Wangmeng Zuo, and Shilei Wen · 2019
Cited alongside, same era.
Exploiting visual artifacts to expose deepfakes and face manipulations
Falko Matern, Christian Riess, and Marc Stamminger · 2019
Cited alongside, same era.
Forensic similarity for digital images
Owen Mayer and Matthew C Stamm · 2019
Cited alongside, same era.
Closest in time.
Face X-ray for more general face forgery detection
Lingzhi Li, Jianmin Bao, Ting Zhang, Hao Yang, Dong Chen, Fang Wen, and Baining Guo · 2020
Closest in time.
SMOT: Single-shot multi object tracking
Wei Li, Yuanjun Xiong, Shuo Yang, Siqi Deng, and Wei Xia · 2020
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Sharp multiple instance learning for DeepFake video detection
Xiaodan Li, Yining Lang, Yuefeng Chen, Xiaofeng Mao, Yuan He, Shuhui Wang, Hui Xue, and Quan Lu · 2020
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Celeb-DF: A large-scale challenging dataset for deepfake forensics
Yuezun Li, Xin Yang, Pu Sun, Honggang Qi, and Siwei Lyu · 2020
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Two-branch recurrent network for isolating deepfakes in videos
Iacopo Masi, Aditya Killekar, Royston Marian Mascarenhas, Shenoy Pratik Gurudatt, and Wael AbdAlmageed · 2020
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Exposing fake images with forensic similarity graphs
Owen Mayer and Matthew C Stamm · 2020
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High-resolution neural face swapping for visual effects
Jacek Naruniec, Leonhard Helminger, Christopher Schroers, and Romann M. Weber · 2020
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GANprintR: Improved fakes and evaluation of the state-of-the-art in face manipulation detection
João C. Neves, Ruben Tolosana, Ruben Vera-Rodriguez, Vasco Lopes, Hugo Proença, and Julian Fierrez · 2020
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dfdc winning solution, 2020
Selim Seferbekov · 2020
Closest in time.
DeepFakes evolution: Analysis of facial regions and fake detection performance
Ruben Tolosana, Sergio Romero-Tapiador, Julian Fierrez, and Ruben Vera-Rodriguez · 2020
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Deepfakes and beyond: A survey of face manipulation and fake detection
Ruben Tolosana, Ruben Vera-Rodriguez, Julian Fierrez, Aythami Morales, and Javier Ortega-Garcia · 2020
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NVAE: A deep hierarchical variational autoencoder
Arash Vahdat and Jan Kautz · 2020
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CNN-generated images are surprisingly easy to spot… for now
Sheng-Yu Wang, Oliver Wang, Richard Zhang, Andrew Owens, and Alexei A. Efros · 2020
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WildDeepfake: A challenging real-world dataset for deepfake detection
Bojia Zi, Minghao Chang, Jingjing Chen, Xingjun Ma, and Yu-Gang Jiang · 2020
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Deepfake detection based on the discrepancy between the face and its context
Yuval Nirkin, Lior Wolf, Yosi Keller, and Tal Hassner · 2021
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Interpretable and trustworthy deepfake detection via dynamic prototypes
Loc Trinh, Michael Tsang, Sirisha Rambhatla, and Yan Liu · 2021
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Multi-attentional deepfake detection
Hanqing Zhao, Wenbo Zhou, Dongdong Chen, Tianyi Wei, Weiming Zhang, and Nenghai Yu · 2021
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