Fetching the paper…
Reading the bibliography…
It is becoming increasingly easy to automatically replace a face of one person in a video with the face of another person by using a pre-trained generative adversarial network (GAN).
D. Bitouk, N. Kumar, S. Dhillon, P. Belhumeur, and S. K. Nayar, “Face swapping: Automatically replacing faces in photographs,” ACM Trans. Graph. , vol. 27, no. 3, pp. 39:1–39:8, Aug. 2008. [Online]. Available: http://doi.acm.org/10.1145/1360612.1360638
2008
Earlier work this paper cites.
N. M. Arar, N. K. Bekmezci, F. Güney, and H. K. Ekenel, “Real-time face swapping in video sequences: Magic mirror,” in 2011 IEEE 19th Signal Processing and Communications Applications Conference (SIU) , April 2011, pp. 825–828
2011
Earlier work this paper cites.
J. Galbally and S. Marcel, “Face anti-spoofing based on general image quality assessment,” in 2014 22nd International Conference on Pattern Recognition , Aug 2014, pp. 1173–1178
2014
Earlier work this paper cites.
Z. Xingjie, J. Song, and J. Park, “The image blending method for face swapping,” in 2014 4th IEEE International Conference on Network Infrastructure and Digital Content , Sept 2014, pp. 95–98
2014
Earlier work this paper cites.
O. M. Parkhi, A. Vedaldi, and A. Zisserman, “Deep face recognition,” in British Machine Vision Conference , 2015
2015
Earlier work this paper cites.
F. Schroff, D. Kalenichenko, and J. Philbin, “Facenet: A unified embedding for face recognition and clustering,” in 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , June 2015, pp. 815–823
2015
Earlier work this paper cites.
D. Wen, H. Han, and A. K. Jain, “Face spoof detection with image distortion analysis,” IEEE Transactions on Information Forensics and Security , vol. 10, no. 4, pp. 746–761, April 2015
2015
Earlier work this paper cites.
T. M. den Uyl, H. E. Tasli, P. Ivan, and M. Snijdewind, “Who do you want to be? real-time face swap,” in 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG) , vol. 1, May 2015, pp. 1–1
2015
Earlier work this paper cites.
J. Thies, M. Zollhöfer, M. Stamminger, C. Theobalt, and M. Nießner, “Face2face: Real-time face capture and reenactment of RGB videos,” in 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , June 2016, pp. 2387–2395
2016
Earlier work this paper cites.
K. Zhang, Z. Zhang, Z. Li, and Y. Qiao, “Joint face detection and alignment using multitask cascaded convolutional networks,” IEEE Signal Processing Letters , vol. 23, no. 10, pp. 1499–1503, Oct 2016
2016
Cited alongside, same era.
N. Le and J.-M. Odobez, “Learning multimodal temporal representation for dubbing detection in broadcast media,” in Proceedings of the 2016 ACM on Multimedia Conference , ser. MM ’16. New York, NY, USA: ACM, 2016, pp. 202–206. [Online]. Available: http://doi.acm.org/10.1145/2964284.2967211
2016
Cited alongside, same era.
2016
Cited alongside, same era.
H. Allcott and M. Gentzkow, “Social media and fake news in the 2016 election,” Journal of Economic Perspectives , vol. 31, no. 2, pp. 211–236, 2017
2017
Cited alongside, same era.
S. Suwajanakorn, S. M. Seitz, and I. Kemelmacher-Shlizerman, “Synthesizing obama: Learning lip sync from audio,” ACM Trans. Graph. , vol. 36, no. 4, pp. 95:1–95:13, Jul. 2017. [Online]. Available: http://doi.acm.org/10.1145/3072959.3073640
2017
Later among the works it cites.
Y. Zhang, L. Zheng, and V. L. L. Thing, “Automated face swapping and its detection,” in 2017 IEEE 2nd International Conference on Signal and Image Processing (ICSIP) , Aug 2017, pp. 15–19
2017
Later among the works it cites.
Y. Nirkin, I. Masi, A. T. Tuan, T. Hassner, and G. Medioni, “On face segmentation, face swapping, and face perception,” in 2018 13th IEEE International Conference on Automatic Face Gesture Recognition (FG 2018) , May 2018, pp. 98–105
2018
Closest in time.
2018
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
P. Isola, J. Zhu, T. Zhou, and A. A. Efros, “Image-to-image translation with conditional adversarial networks,” in 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , July 2017, pp. 5967–5976
2017
Cited alongside, same era.
I. Korshunova, W. Shi, J. Dambre, and L. Theis, “Fast face-swap using convolutional neural networks,” in 2017 IEEE International Conference on Computer Vision (ICCV) , Oct 2017, pp. 3697–3705
2017
Cited alongside, same era.
A. Agarwal, R. Singh, M. Vatsa, and A. Noore, “Swapped! digital face presentation attack detection via weighted local magnitude pattern,” in 2017 IEEE International Joint Conference on Biometrics (IJCB) , Oct 2017, pp. 659–665
2017
Cited alongside, same era.
S. Mahajan, L. Chen, and T. Tsai, “Swapitup: A face swap application for privacy protection,” in 2017 IEEE 31st International Conference on Advanced Information Networking and Applications (AINA) , March 2017, pp. 46–50
2017
Cited alongside, same era.
Closest in time.
2018
Closest in time.
P. Korshunov and S. Marcel, “Speaker inconsistency detection in tampered video,” in European Signal Processing Conference (EUSIPCO) , Sep. 2018
2018
Closest in time.
2018
Closest in time.
A. Mohammadi, S. Bhattacharjee, and S. Marcel, “Deeply vulnerable: a study of the robustness of face recognition to presentation attacks,” IET Biometrics , vol. 7, no. 1, pp. 15–26, 2018
2018
Closest in time.