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Deepfakes are a recent off-the-shelf manipulation technique that allows anyone to swap two identities in a single video.
A brief history of motion capture for computer character animation
David J. Sturman · 1994
Earlier work this paper cites.
Fake photographs: making truths in photography
Martyn Jolly · 2003
Earlier work this paper cites.
Photo tampering throughout history
Hany Farid · 2011
Earlier work this paper cites.
Facial action transfer with personalized bilinear regression
Dong Huang and Fernando de la Torre · 2012
Earlier work this paper cites.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Earlier work this paper cites.
Joint face detection and alignment using multitask cascaded convolutional networks
Kaipeng Zhang, Zhanpeng Zhang, Zhifeng Li, and Yu Qiao · 2016
Earlier work this paper cites.
Quo vadis, action recognition? a new model and the kinetics dataset
Joao Carreira and Andrew Zisserman · 2017
Earlier work this paper cites.
Xception: Deep learning with depthwise separable convolutions
François Chollet · 2017
Earlier work this paper cites.
Mixup: Beyond empirical risk minimization
Hongyi Zhang, Moustapha Cisse, Yann N Dauphin, and David Lopez-Paz · 2017
Earlier work this paper cites.
Artificial intelligence, deepfakes and a future of ectypes
Luciano Floridi · 2018
Earlier work this paper cites.
A style-based generator architecture for generative adversarial networks
Tero Karras, Samuli Laine, and Timo Aila · 2018
Cited alongside, same era.
DeepFakes: a New Threat to Face Recognition? Assessment and Detection
Pavel Korshunov and Sebastien Marcel · 2018
Cited alongside, same era.
Deepfakes: A looming challenge for privacy, democracy, and national security
Bobby Chesney and Danielle Citron · 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.
Contributing data to deepfake detection research
Nick Dufour and Andrew Gully · 2019
Cited alongside, same era.
Deepfakes and cheapfakes
Britt Paris and Joan Donovan · 2019
Later among the works it cites.
TTS skins: Speaker conversion via asr
Adam Polyak, Lior Wolf, and Yaniv Taigman · 2019
Later among the works it cites.
FaceForensics++: Learning to detect manipulated facial images
Andreas Rössler, Davide Cozzolino, Luisa Verdoliva, Christian Riess, Justus Thies, and Matthias Nießner · 2019
Later among the works it cites.
Facial recognition’s ’dirty little secret’: Millions of online photos scraped without consent
Olivia Solon · 2019
Later among the works it cites.
Efficientnet: Rethinking model scaling for convolutional neural networks
Mingxing Tan and Quoc V. Le · 2019
Later among the works it cites.
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Christoph Feichtenhofer, Haoqi Fan, Jitendra Malik, and Kaiming He · 2019
Cited alongside, same era.
Tao Hu, Honggang Qi, Qingming Huang, and Yan Lu · 2019
Cited alongside, same era.
Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics
Yuezun Li, Xin Yang, Pu Sun, Honggang Qi, and Siwei Lyu · 2019
Cited alongside, same era.
Towards deepfake detection that actually works
Rayhane Mama and Sam Shi · 2019
Cited alongside, same era.
FSGAN: Subject agnostic face swapping and reenactment
Yuval Nirkin, Yosi Keller, and Tal Hassner · 2019
Cited alongside, same era.
https://github.com/NTech-Lab/deepfake-detection-challenge
Azat Davletshin
Cited in the paper.
https://github.com/jphdotam/DFDC/
James Howard and Ian Pan
Cited in the paper.
Xin Yang, Yuezun Li, and Siwei Lyu · 2019
Later among the works it cites.
Few-shot adversarial learning of realistic neural talking head models
Egor Zakharov, Aliaksandra Shysheya, Egor Burkov, and Victor Lempitsky · 2019
Later among the works it cites.
DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection
Liming Jiang, Wayne Wu, Ren Li, Chen Qian, and Chen Change Loy · 2020
Closest in time.
Media forensics and deepfakes: an overview
Luisa Verdoliva · 2020
Closest in time.