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We propose a method for detecting face swapping and other identity manipulations in single images.
——, “Image copy-move forgery detection via an end-to-end deep neural network,” in Winter Conf. on App. of Comput. Vision . IEEE, 2018, pp. 1907–1915
1915
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V. Blanz, S. Romdhani, and T. Vetter, “Face identification across different poses and illuminations with a 3d morphable model,” in Int. Conf. on Automatic Face and Gesture Recognition , 2002, pp. 192–197
2002
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V. Blanz and T. Vetter, “Face recognition based on fitting a 3d morphable model,” Trans. Pattern Anal. Mach. Intell. , vol. 25, no. 9, pp. 1063–1074, 2003
2003
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V. Blanz, K. Scherbaum, T. Vetter, and H.-P. Seidel, “Exchanging faces in images,” Comput. Graphics Forum , vol. 23, no. 3, pp. 669–676, 2004
2004
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G. B. Huang, M. Ramesh, T. Berg, and E. Learned-Miller, “Labeled faces in the wild: A database for studying face recognition in unconstrained environments,” UMass, Amherst, Tech. Rep. 07-49, October 2007
2007
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D. Bitouk, N. Kumar, S. Dhillon, P. Belhumeur, and S. K. Nayar, “Face swapping: automatically replacing faces in photographs,” ACM Trans. on Graphics , vol. 27, no. 3, p. 39, 2008
2008
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N. Kumar, A. C. Berg, P. N. Belhumeur, and S. K. Nayar, “Attribute and simile classifiers for face verification,” in Proc. Conf. Comput. Vision Pattern Recognition . IEEE, 2009, pp. 365–372
2009
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O. Alexander, M. Rogers, W. Lambeth, M. Chiang, and P. Debevec, “Creating a photoreal digital actor: The digital emily project,” in Conf. Visual Media Production . IEEE, 2009, pp. 176–187
2009
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L. Wolf, Z. Freund, and S. Avidan, “An eye for an eye: A single camera gaze-replacement method,” in Proc. Conf. Comput. Vision Pattern Recognition . IEEE, 2010, pp. 817–824
2010
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J. Fridrich and J. Kodovsky, “Rich models for steganalysis of digital images,” Trans. on Inform. Forensics and Security , vol. 7, no. 3, pp. 868–882, 2012
2012
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Y. Lin, S. Wang, Q. Lin, and F. Tang, “Face swapping under large pose variations: A 3D model based approach,” in Int. Conf. on Multimedia and Expo . IEEE, 2012, pp. 333–338
2012
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S. Mosaddegh, L. Simon, and F. Jurie, “Photorealistic face de-identification by aggregating donors’ face components,” in Asian Conf. Comput. Vision . Springer, 2014, pp. 159–174
2014
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2014
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O. Ronneberger, P. Fischer, and T. Brox, “U-net: Convolutional networks for biomedical image segmentation,” in Int. Conf. on Medical image computing and computer-assisted intervention . Springer, 2015, pp. 234–241
2015
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J. Thies, M. Zollhofer, M. Stamminger, C. Theobalt, and M. Nießner, “Face2face: Real-time face capture and reenactment of rgb videos,” in Proc. Conf. Comput. Vision Pattern Recognition , 2016, pp. 2387–2395
2016
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B. Bayar and M. C. Stamm, “A deep learning approach to universal image manipulation detection using a new convolutional layer,” in Int. Workshop on Information Hiding and Multimedia Security . ACM, 2016
2016
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I. Kemelmacher-Shlizerman, “Transfiguring portraits,” ACM Trans. on Graphics , vol. 35, no. 4, p. 94, 2016
2016
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I. Masi, A. T. Tran, T. Hassner, J. T. Leksut, and G. Medioni, “Do we really need to collect millions of faces for effective face recognition?” in European Conf. Comput. Vision . Springer, 2016, pp. 579–596
2016
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O. I. Al-Sanjary, A. A. Ahmed, and G. Sulong, “Development of a video tampering dataset for forensic investigation,” Forensic science int. , vol. 266, pp. 565–572, 2016
2016
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D. Cozzolino, G. Poggi, and L. Verdoliva, “Recasting residual-based local descriptors as convolutional neural networks: an application to image forgery detection,” in Int. Workshop on Information Hiding and Multimedia Security . ACM, 2017, pp. 159–164
2017
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N. Rahmouni, V. Nozick, J. Yamagishi, and I. Echizen, “Distinguishing computer graphics from natural images using convolution neural networks,” in Int. Workshop on Information Forensics and Security . IEEE, 2017
2017
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S. Suwajanakorn, S. M. Seitz, and I. Kemelmacher-Shlizerman, “Synthesizing obama: learning lip sync from audio,” ACM Trans. on Graphics , vol. 36, no. 4, p. 95, 2017
2017
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H. Averbuch-Elor, D. Cohen-Or, J. Kopf, and M. F. Cohen, “Bringing portraits to life,” ACM Trans. on Graphics , vol. 36, no. 6, p. 196, 2017
2017
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P. Zhou, X. Han, V. I. Morariu, and L. S. Davis, “Two-stream neural networks for tampered face detection,” in Proc. Conf. Comput. Vision Pattern Recognition Workshops . IEEE, 2017, pp. 1831–1839
2017
Cited alongside, same era.
F. Chollet, “Xception: Deep learning with depthwise separable convolutions,” in Proc. Conf. Comput. Vision Pattern Recognition , 2017, pp. 1251–1258
2017
Cited alongside, same era.
C. Szegedy, S. Ioffe, V. Vanhoucke, and A. A. Alemi, “Inception-v4, inception-resnet and the impact of residual connections on learning,” in AAAI Conf. on Artificial Intelligence , 2017
2017
Cited alongside, same era.
Google AI, “Contributing data to deepfake detection research,” available: https://ai.googleblog.com/2019/09/contributing-data-to-deepfake-detection.html
2019
Later among the works it cites.
2019
Later among the works it cites.
Deepfakes, “Deepfakes,” https://github.com/deepfakes/faceswap , accessed: 2019-11-15
2019
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A. Rössler, D. Cozzolino, L. Verdoliva, C. Riess, J. Thies, and M. Nießner, “Faceforensics++: Learning to detect manipulated facial images,” arXiv , 2019
2019
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FaceSwap, “FaceSwap,” https://github.com/MarekKowalski/FaceSwap/ , accessed: 2019-11-15
2019
Later among the works it cites.
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2018
Cited alongside, same era.
Y. Nirkin, I. Masi, A. T. Tuan, T. Hassner, and G. Medioni, “On face segmentation, face swapping, and face perception,” in Int. Conf. on Automatic Face and Gesture Recognition . IEEE, 2018, pp. 98–105
2018
Cited alongside, same era.
A. Pumarola, A. Agudo, A. M. Martinez, A. Sanfeliu, and F. Moreno-Noguer, “Ganimation: Anatomically-aware facial animation from a single image,” in European Conf. Comput. Vision , 2018, pp. 818–833
2018
Cited alongside, same era.
2018
Cited alongside, same era.
H. Kim, P. Carrido, A. Tewari, W. Xu, J. Thies, M. Niessner, P. Pérez, C. Richardt, M. Zollhöfer, and C. Theobalt, “Deep video portraits,” ACM Trans. on Graphics , vol. 37, no. 4, p. 163, 2018
2018
Cited alongside, same era.
R. Natsume, T. Yatagawa, and S. Morishima, “Fsnet: An identity-aware generative model for image-based face swapping,” in Asian Conf. Comput. Vision . Springer, Dec 2018
2018
Cited alongside, same era.
2018
Cited alongside, same era.
S. Jia, Z. Xu, H. Wang, C. Feng, and T. Wang, “Coarse-to-fine copy-move forgery detection for video forensics,” IEEE Access , vol. 6, pp. 25 323–25 335, 2018
2018
Cited alongside, same era.
Y. Nirkin, Y. Keller, and T. Hassner, “FSGAN: Subject agnostic face swapping and reenactment,” in Proc. Int. Conf. Comput. Vision , 2019, pp. 7184–7193
2019
Later among the works it cites.
2019
Later among the works it cites.
2019
Later among the works it cites.
F.-J. Chang, A. T. Tran, T. Hassner, I. Masi, R. Nevatia, and G. Medioni, “Deep, landmark-free fame: Face alignment, modeling, and expression estimation,” Int. J. Comput. Vision , vol. 127, no. 6-7, pp. 930–956, 2019
2019
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I. Masi, A. T. Tran, T. Hassner, G. Sahin, and G. Medioni, “Face-specific data augmentation for unconstrained face recognition,” Int. J. Comput. Vision , vol. 127, no. 6-7, pp. 642–667, 2019
2019
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Y. Wu, W. AbdAlmageed, and P. Natarajan, “ManTra-Net: Manipulation tracing network for detection and localization of image forgeries with anomalous features,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2019, pp. 9543–9552
2019
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E. Sabir, J. Cheng, A. Jaiswal, W. AbdAlmageed, I. Masi, and P. Natarajan, “Recurrent convolutional strategies for face manipulation detection in videos,” Interfaces (GUI) , vol. 3, p. 1, 2019
2019
Later among the works it cites.
F. Matern, C. Riess, and M. Stamminger, “Exploiting visual artifacts to expose deepfakes and face manipulations,” in Winter Conf. on App. of Comput. Vision Workshops . IEEE, 2019, pp. 83–92
2019
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2019
Later among the works it cites.
S.-Y. Wang, O. Wang, A. Owens, R. Zhang, and A. A. Efros, “Detecting photoshopped faces by scripting photoshop,” in Proc. Int. Conf. Comput. Vision , 2019
2019
Later among the works it cites.
X. Yang, Y. Li, and S. Lyu, “Exposing deep fakes using inconsistent head poses,” in ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . IEEE, 2019, pp. 8261–8265
2019
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2019
Later among the works it cites.
2019
Later among the works it cites.
P. Korshunov and S. Marcel, “Vulnerability assessment and detection of deepfake videos,” in Int. Conf. on Biometrics , 2019, pp. 1–6
2019
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J. Li, Y. Wang, C. Wang, Y. Tai, J. Qian, J. Yang, C. Wang, J. Li, and F. Huang, “DSFD: Dual shot face detector,” in Proc. Conf. Comput. Vision Pattern Recognition , 2019, pp. 5060–5069
2019
Later among the works it cites.