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Better generative models and larger datasets have led to more realistic fake videos that can fool the human eye but produce temporal and spatial artifacts that deep learning approaches can detect.
Video rewrite: Driving visual speech with audio
Christoph Bregler, Michele Covell, and Malcolm Slaney · 1997
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Video face replacement
Kevin Dale, Kalyan Sunkavalli, Micah K Johnson, Daniel Vlasic, Wojciech Matusik, and Hanspeter Pfister · 2011
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Automatic face reenactment
Pablo Garrido, Levi Valgaerts, Ole Rehmsen, Thorsten Thormahlen, Patrick Perez, and Christian Theobalt · 2014
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Spatial pyramid pooling in deep convolutional networks for visual recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2015
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
Sergey Ioffe and Christian Szegedy · 2015
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What makes tom hanks look like tom hanks
Supasorn Suwajanakorn, Steven M Seitz, and Ira Kemelmacher-Shlizerman · 2015
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Real-time expression transfer for facial reenactment
Justus Thies, Michael Zollhöfer, Matthias Nießner, Levi Valgaerts, Marc Stamminger, and Christian Theobalt · 2015
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Face2face: Real-time face capture and reenactment of rgb videos
Justus Thies, Michael Zollhofer, Marc Stamminger, Christian Theobalt, and Matthias Nießner · 2016
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Bringing portraits to life
Hadar Averbuch-Elor, Daniel Cohen-Or, Johannes Kopf, and Michael F Cohen · 2017
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Quo vadis, action recognition? a new model and the kinetics dataset
Joao Carreira and Andrew Zisserman · 2017
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Learning spatio-temporal features with 3d residual networks for action recognition
Kensho Hara, Hirokatsu Kataoka, and Yutaka Satoh · 2017
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The kinetics human action video dataset
Will Kay, Joao Carreira, Karen Simonyan, Brian Zhang, Chloe Hillier, Sudheendra Vijayanarasimhan, Fabio Viola, Tim Green, Trevor Back, Paul Natsev, et al · 2017
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Fast face-swap using convolutional neural networks
Iryna Korshunova, Wenzhe Shi, Joni Dambre, and Lucas Theis · 2017
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Synthesizing obama: learning lip sync from audio
Supasorn Suwajanakorn, Steven M Seitz, and Ira Kemelmacher-Shlizerman · 2017
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Two-stream neural networks for tampered face detection
Peng Zhou, Xintong Han, Vlad I Morariu, and Larry 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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Deepfakes: a new threat to face recognition? assessment and detection
Pavel Korshunov and Sébastien Marcel · 2018
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Exploiting visual artifacts to expose deepfakes and face manipulations
Falko Matern, Christian Riess, and Marc Stamminger · 2019
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Multi-task learning for detecting and segmenting manipulated facial images and videos
Huy H Nguyen, Fuming Fang, Junichi Yamagishi, and Isao Echizen · 2019
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Use of a capsule network to detect fake images and videos
Huy H Nguyen, Junichi Yamagishi, and Isao Echizen · 2019
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Deep learning for deepfakes creation and detection
Thanh Thi Nguyen, Cuong M Nguyen, Dung Tien Nguyen, Duc Thanh Nguyen, and Saeid Nahavandi · 2019
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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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Yuezun Li and Siwei Lyu · 2018
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Hai X Pham, Yuting Wang, and Vladimir Pavlovic · 2018
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Facevr: Real-time gaze-aware facial reenactment in virtual reality
Justus Thies, Michael Zollhöfer, Marc Stamminger, Christian Theobalt, and Matthias Nießner · 2018
Cited alongside, same era.
A closer look at spatiotemporal convolutions for action recognition
Du Tran, Heng Wang, Lorenzo Torresani, Jamie Ray, Yann LeCun, and Manohar Paluri · 2018
Cited alongside, same era.
Retinaface: Single-stage dense face localisation in the wild
Jiankang Deng, Jia Guo, Yuxiang Zhou, Jinke Yu, Irene Kotsia, and Stefanos Zafeiriou · 2019
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.
Unmasking deepfakes with simple features
Ricard Durall, Margret Keuper, Franz-Josef Pfreundt, and Janis Keuper · 2019
Cited alongside, same era.
Later among the works it cites.
Exposing deep fakes using inconsistent head poses
Xin Yang, Yuezun Li, and Siwei Lyu · 2019
Later among the works it cites.
https://github.com/dfaker/df
dfaker/df: Larger resolution face masked, weirdly warped, deepfake, · 2020
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https://www.malavida.com/en/soft/fakeapp/
Fakeapp 2.2.0 - download for pc free · 2020
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https://github.com/iperov/DeepFaceLab
iperov/deepfacelab: Deepfacelab is the leading software for creating deepfakes · 2020
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https://deepmind.com/research/open-source/kinetics
Kinetics — deepmind · 2020
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https://prior.allenai.org/projects/charades
Perceptual reasoning and interaction research - charades · 2020
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https://github.com/shaoanlu/faceswap-GAN
shaoanlu/faceswap-gan: A denoising autoencoder + adversarial losses and attention mechanisms for face swapping · 2020
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Detecting deepfakes with metric learning
Akash Kumar and Arnav Bhavsar · 2020
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