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Face forgery by deepfake is widely spread over the internet and has raised severe societal concerns.
Rich models for steganalysis of digital images
Jessica J. Fridrich and Jan Kodovský · 2012
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Deformable part descriptors for fine-grained recognition and attribute prediction
Ning Zhang, Ryan Farrell, Forrest N. Iandola, and Trevor Darrell · 2013
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Rich feature hierarchies for accurate object detection and semantic segmentation
Ross B. Girshick, Jeff Donahue, Trevor Darrell, and Jitendra Malik · 2014
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Part-based r-cnns for fine-grained category detection
Ning Zhang, Jeff Donahue, Ross B. Girshick, and Trevor Darrell · 2014
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2015
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Neural activation constellations: Unsupervised part model discovery with convolutional networks
Marcel Simon and Erik Rodner · 2015
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Transfiguring portraits
Ira Kemelmachershlizerman · 2016
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Face2face: Real-time face capture and reenactment of rgb videos
Justus Thies, Michael Zollhofer, Marc Stamminger, Christian Theobalt, and Matthias Niebner · 2016
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Jpeg-phase-aware convolutional neural network for steganalysis of jpeg images
M. Chen, V. Sedighi, M. Boroumand, and J. Fridrich · 2017
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Xception: Deep learning with depthwise separable convolutions
François Chollet · 2017
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Recasting residual-based local descriptors as convolutional neural networks: an application to image forgery detection
Davide Cozzolino, Giovanni Poggi, and Luisa Verdoliva · 2017
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Look closer to see better: Recurrent attention convolutional neural network for fine-grained image recognition
Jianlong Fu, Heliang Zheng, and Tao Mei · 2017
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Development of photo forensics algorithm by detecting photoshop manipulation using error level analysis
T. S. Gunawan, Siti Amalina Mohammad Hanafiah, M. Kartiwi, Nanang Ismail, N. F. Za’bah, and A. N. Nordin · 2017
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Deep fisher faces
Harald Hanselmann, Shen Yan, and Hermann Ney · 2017
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Densely connected convolutional networks
Gao Huang, Zhuang Liu, Laurens van der Maaten, and Kilian Q. Weinberger · 2017
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Synthesizing obama: Learning lip sync from audio
Ira Kemelmacher-Shlizerman Supasorn Suwajanakorn, Steven Seitz · 2017
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Learning multi-attention convolutional neural network for fine-grained image recognition
Heliang Zheng, Jianlong Fu, Tao Mei, and Jiebo Luo · 2017
Cited alongside, same era.
Two-stream neural networks for tampered face detection
Peng Zhou, Xintong Han, V. Morariu, and L. Davis · 2017
Cited alongside, same era.
Mesonet: a compact facial video forgery detection network
Darius Afchar, Vincent Nozick, Junichi Yamagishi, and Isao Echizen · 2018
Cited alongside, same era.
In ictu oculi: Exposing AI created fake videos by detecting eye blinking
Yuezun Li, Ming-Ching Chang, and Siwei Lyu · 2018
Cited alongside, same era.
Rsgan: face swapping and editing using face and hair representation in latent spaces
Ryota Natsume, Tatsuya Yatagawa, and Shigeo Morishima · 2018
Cited alongside, same era.
Ganimation: Anatomically-aware facial animation from a single image
Faceforensics++: Learning to detect manipulated facial images
Andreas Rossler, Davide Cozzolino, Luisa Verdoliva, Christian Riess, Justus Thies, and Matthias Nießner · 2019
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Efficientnet: Rethinking model scaling for convolutional neural networks
Mingxing Tan and Quoc V. Le · 2019
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Deferred neural rendering: image synthesis using neural textures
Justus Thies, Michael Zollhöfer, and Matthias Nießner · 2019
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Detecting photoshopped faces by scripting photoshop
Sheng-Yu Wang, Oliver Wang, Andrew Owens, Richard Zhang, and Alexei A Efros · 2019
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Exposing deep fakes using inconsistent head poses
Xin Yang, Yuezun Li, and Siwei Lyu · 2019
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Albert Pumarola, Antonio Agudo, Aleix M Martinez, Alberto Sanfeliu, and Francesc Morenonoguer · 2018
Cited alongside, same era.
Additive margin softmax for face verification
Feng Wang, Jian Cheng, Weiyang Liu, and H. Liu · 2018
Cited alongside, same era.
Reenactgan: Learning to reenact faces via boundary transfer
Wayne Wu, Yunxuan Zhang, Cheng Li, Chen Qian, and Chen Change Loy · 2018
Cited alongside, same era.
Learning to navigate for fine-grained classification
Ze Yang, Tiange Luo, Dong Wang, Zhiqiang Hu, Jun Gao, and Liwei Wang · 2018
Cited alongside, same era.
Retinaface: Single-stage dense face localisation in the wild
Jiankang Deng, J. Guo, Y. Zhou, Jinke Yu, I. Kotsia, and S. Zafeiriou · 2019
Cited alongside, same era.
Tao Hu and Honggang Qi · 2019
Cited alongside, same era.
Exposing deepfake videos by detecting face warping artifacts
Yuezun Li and Siwei Lyu · 2019
Cited alongside, same era.
Jiangning Zhang, Xianfang Zeng, Yusu Pan, Yong Liu, Yu Ding, and Changjie Fan · 2019
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Fakecatcher: Detection of synthetic portrait videos using biological signals
Umur Aybars Ciftci, Ilke Demir, and Lijun Yin · 2020
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On the detection of digital face manipulation
Hao Dang, Feng Liu, Joel Stehouwer, Xiaoming Liu, and Anil K Jain · 2020
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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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Fine-grained visual classification via progressive multi-granularity training of jigsaw patches
Ruoyi Du, Dongliang Chang, Ayan Kumar Bhunia, Jiyang Xie, Yi-Zhe Song, Zhanyu Ma, and Jun Guo · 2020
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Head2head: Video-based neural head synthesis
Mohammad Rami Koujan, Michail Christos Doukas, Anastasios Roussos, and Stefanos Zafeiriou · 2020
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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
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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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Thinking in frequency: Face forgery detection by mining frequency-aware clues
Yuyang Qian, Guojun Yin, Lu Sheng, Zixuan Chen, and Jing Shao · 2020
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Sstnet: Detecting manipulated faces through spatial, steganalysis and temporal features
Xi Wu, Zhen Xie, YuTao Gao, and Yu Xiao · 2020
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