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The stunning progress in face manipulation methods has made it possible to synthesize realistic fake face images, which poses potential threats to our society.
Video rewrite: Driving visual speech with audio
Christoph Bregler, Michele Covell, and Malcolm Slaney · 1997
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Exposing digital forgeries by detecting traces of resampling
A.C. Popescu and H. Farid · 2005
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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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Identify computer generated characters by analysing facial expressions variation
D. Dang-Nguyen, G. Boato, and F. G. B. De Natale · 2012
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Hierarchical face parsing via deep learning
Ping Luo · 2012
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Exposing photo manipulation with inconsistent reflections
James F. O’Brien and Hany Farid · 2012
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Exposing digital image forgeries by illumination color classification
T. J. d. Carvalho, C. Riess, E. Angelopoulou, H. Pedrini, and A. d. R. Rocha · 2013
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Deepface: Closing the gap to human-level performance in face verification
Yaniv Taigman, Ming Yang, Marc’Aurelio Ranzato, and Lior Wolf · 2013
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Video face replacement system using a modified poisson blending technique
Mahmoud Afifi, Khaled Hussain, Hosny Ibrahim, and Nagwa Omar · 2014
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Learning and transferring mid-level image representations using convolutional neural networks
M. Oquab, L. Bottou, I. Laptev, and J. Sivic · 2014
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Deep learning face representation by joint identification-verification
Yi Sun, Yuheng Chen, Xiaogang Wang, and Xiaoou Tang · 2014
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Vdub: Modifying face video of actors for plausible visual alignment to a dubbed audio track
P. Garrido, Levi Valgaerts, Hamid Sarmadi, I. Steiner, Kiran Varanasi, P. Pérez, and C. Theobalt · 2015
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Adam: A method for stochastic optimization
Diederick P Kingma and Jimmy Ba · 2015
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Fully convolutional networks for semantic segmentation
J. Long, E. Shelhamer, and T. Darrell · 2015
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U-net: Convolutional networks for biomedical image segmentation
O. Ronneberger, P.Fischer, and T. Brox · 2015
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Facenet: A unified embedding for face recognition and clustering
Florian Schroff, Dmitry Kalenichenko, and James Philbin · 2015
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2015
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Striving for simplicity: The all convolutional net
J.T. Springenberg, A. Dosovitskiy, T. Brox, and M. Riedmiller · 2015
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Going deeper with convolutions
Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, and Andrew Rabinovich · 2015
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A deep learning approach to universal image manipulation detection using a new convolutional layer
Belhassen Bayar and Matthew C. Stamm · 2016
Cited alongside, same era.
The cityscapes dataset for semantic urban scene understanding
Marius Cordts, Mohamed Omran, Sebastian Ramos, Timo Rehfeld, Markus Enzweiler, Rodrigo Benenson, Uwe Franke, Stefan Roth, and Bernt Schiele · 2016
Cited alongside, same era.
Photo Forensics
Hany Farid · 2016
Cited alongside, same era.
Image-to-image translation with conditional adversarial networks
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A Efros · 2016
Transferable deep-cnn features for detecting digital and print-scanned morphed face images
R. Raghavendra, K. B. Raja, S. Venkatesh, and C. Busch · 2017
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Grad-cam: Visual explanations from deep networks via gradient-based localization
Ramprasaath R. Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra · 2017
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Synthesizing obama: learning lip sync from audio
Supasorn Suwajanakorn, Steven Seitz, and Ira Kemelmacher · 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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Deep feature interpolation for image content changes
Paul Upchurch, Jacob Gardner, Geoff Pleiss, Robert Pless, Noah Snavely, Kavita Bala, and Kilian Q. Weinberger · 2017
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Two-stream neural networks for tampered face detection
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Cited alongside, same era.
Face2face: Real-time face capture and reenactment of rgb videos
Justus Thies, Michael Zollhofer, Marc Stamminger, Christian Theobalt, and Matthias Niessner · 2016
Cited alongside, same era.
Learning deep features for discriminative localization
Bolei Zhou, Aditya Khosla, Agata Lapedriza, Aude Oliva, and Antonio Torralba · 2016
Cited alongside, same era.
Face aging with conditional generative adversarial networks
G. Antipov, M. Baccouche, and J. Dugelay · 2017
Cited alongside, same era.
Bringing portraits to life
Hadar Averbuch-Elor, Daniel Cohen-Or, Johannes Kopf, and Michael F. Cohen · 2017
Cited alongside, same era.
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
Cited alongside, same era.
Xception: Deep learning with depthwise separable convolutions
Francois Chollet · 2017
Cited alongside, same era.
P. Zhou, X. Han, V. I. Morariu, and L. S. Davis · 2017
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Mesonet: a compact facial video forgery detection network
D. Afchar, V. Nozick, J. Yamagishi, and I. Echizen · 2018
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Deepfake video detection using recurrent neural networks
D. Güera and E. 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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Deep Video Portraits
H. Kim, P. Garrido, A. Tewari, W. Xu, J. Thies, N. Nießner, P. Pérez, C. Richardt, M. Zollhöfer, and C. Theobalt · 2018
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In ictu oculi: Exposing ai created fake videos by detecting eye blinking
Y. Li, M. Chang, and S. Lyu · 2018
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Attribute-guided face generation using conditional cyclegan
Yongyi Lu, Yu-Wing Tai, and Chi-Keung Tang · 2018
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State of the Art on Monocular 3D Face Reconstruction, Tracking, and Applications
Michael Zollhofer, Justus Thies, Pablo Garrido, Derek Bradley, Thabo Beeler, Patrick Pérez, Marc Stamminger, Matthias Nießner, and Christian Theobalt · 2018
Later among the works it cites.
FaceForensics++: Learning to detect manipulated facial images
Andreas Rossler, Davide Cozzolino, Luisa Verdoliva, Christian Riess, Justus Thies, and Matthias Niesner · 2019
Closest in time.
Deferred neural rendering: Image synthesis using neural textures
Justus Thies, Michael Zollhöfer, and Matthias Niessner · 2019
Closest in time.
Detecting photoshopped faces by scripting photoshop
Sheng-Yu Wang, Oliver Wang, Andrew Owens, Richard Zhang, and Alexei A Efros · 2019
Closest in time.