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We present a method for generating a video of a talking face.
Lucas, B.D., Kanade, T.: An iterative image registration technique with an application to stereo vision. In: Proc. of the 7th International Joint Conference on Artificial Intelligence. pp. 674–679 (1981),
1981
Earlier work this paper cites.
Lienhart, R.: Reliable transition detection in videos: A survey and practitioner’s guide. International Journal of Image and Graphics (Aug 2001)
2001
Earlier work this paper cites.
Perez, P., Gangnet, M., Blake, A.: Poisson image editing. ACM Transactions on Graphics 22(3), 313–318 (2003)
2003
Earlier work this paper cites.
Hinton, G.E., Salakhutdinov, R.R.: Reducing the dimensionality of data with neural networks. Science 313(5786), 504–507 (Jul 2006),
2006
Earlier work this paper cites.
King, D.E.: Dlib-ml: A machine learning toolkit. The Journal of Machine Learning Research 10, 1755–1758 (2009)
2009
Earlier work this paper cites.
Krizhevsky, A., Sutskever, I., Hinton, G.E.: ImageNet classification with deep convolutional neural networks. In: NIPS. pp. 1106–1114 (2012)
2012
Earlier work this paper cites.
Kingma, D.P., Welling, M.: Auto-encoding variational bayes. CoRR abs/1312.6114 (2013),
2013
Earlier work this paper cites.
Wan, V., Anderson, R., Blokland, A., Braunschweiler, N., Chen, L., Kolluru, B., Latorre, J., Maia, R., Stenger, B., Yanagisawa, K., et al.: Photo-realistic expressive text to talking head synthesis. In: INTERSPEECH. pp. 2667–2669 (2013)
2013
Earlier work this paper cites.
Chatfield, K., Simonyan, K., Vedaldi, A., Zisserman, A.: Return of the devil in the details: Delving deep into convolutional nets. In: Proc. BMVC. (2014)
2014
Earlier work this paper cites.
Goodfellow, I.J., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A.C., Bengio, Y.: Generative adversarial nets. In: Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, December 8-13 2014, Montreal, Quebec, Canada. pp. 2672–2680 (2014),
2014
Earlier work this paper cites.
Kazemi, V., Sullivan, J.: One millisecond face alignment with an ensemble of regression trees. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 1867–1874 (2014)
2014
Earlier work this paper cites.
Fan, B., Wang, L., Soong, F.K., Xie, L.: Photo-real talking head with deep bidirectional lstm. In: Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on. pp. 4884–4888. IEEE (2015)
2015
Cited alongside, same era.
Garrido, P., Valgaerts, L., Sarmadi, H., Steiner, I., Varanasi, K., Pérez, P., Theobalt, C.: Vdub: Modifying face video of actors for plausible visual alignment to a dubbed audio track. In: Computer Graphics Forum. vol. 34, pp. 193–204. Wiley Online Library (2015)
2015
Cited alongside, same era.
Karpathy, A., Fei-Fei, L.: Deep visual-semantic alignments for generating image descriptions. In: Proc. CVPR. pp. 3128–3137 (2015)
2015
Cited alongside, same era.
Parkhi, O.M., Vedaldi, A., Zisserman, A.: Deep face recognition. In: Proc. BMVC. (2015)
2015
Cited alongside, same era.
Chung, J.S., Zisserman, A.: Out of time: automated lip sync in the wild. In: Workshop on Multi-view Lip-reading, ACCV (2016)
2016
Later among the works it cites.
Isola, P., Zhu, J.Y., Zhou, T., Efros, A.A.: Image-to-image translation with conditional adversarial networks. arxiv (2016)
2016
Later among the works it cites.
Kim, J., Lee, J.K., Lee, K.M.: Accurate image super-resolution using very deep convolutional networks. In: Proc. CVPR (June 2016)
2016
Later among the works it cites.
van den Oord, A., Kalchbrenner, N., Espeholt, L., Vinyals, O., Graves, A., et al.: Conditional image generation with pixelcnn decoders. In: Advances in Neural Information Processing Systems. pp. 4790–4798 (2016)
2016
Later among the works it cites.
Owens, A., Isola, P., McDermott, J.H., Torralba, A., Adelson, E.H., Freeman, W.T.: Visually indicated sounds. In: CVPR. pp. 2405–2413. IEEE Computer Society (2016),
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Ronneberger, O., Fischer, P., Brox, T.: U-net: Convolutional networks for biomedical image segmentation. In: International Conference on Medical Image Computing and Computer-Assisted Intervention. pp. 234–241. Springer (2015)
2015
Cited alongside, same era.
Szegedy, C., Liu, W., Jia, Y., Sermanet, P., Reed, S., Anguelov, D., Erhan, D., Vanhoucke, V., Rabinovich, A.: Going deeper with convolutions. In: Proc. CVPR (2015)
2015
Cited alongside, same era.
Vedaldi, A., Lenc, K.: Matconvnet: Convolutional neural networks for matlab. In: Proc. ACMM (2015)
2015
Cited alongside, same era.
Vinyals, O., Toshev, A., Bengio, S., Erhan, D.: Show and tell: A neural image caption generator. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 3156–3164 (2015)
2015
Cited alongside, same era.
2015
Cited alongside, same era.
Charles, J., Magee, D., Hogg, D.: Virtual immortality: Reanimating characters from tv shows. In: Computer Vision–ECCV 2016 Workshops. pp. 879–886. Springer (2016)
2016
Cited alongside, same era.
Chung, J.S., Zisserman, A.: Lip reading in the wild. In: Proc. ACCV (2016)
2016
Cited alongside, same era.
2016
Later among the works it cites.
Pathak, D., Krahenbuhl, P., Donahue, J., Darrell, T., Efros, A.A.: Context encoders: Feature learning by inpainting. In: Proc. CVPR. pp. 2536–2544 (2016)
2016
Later among the works it cites.
Reed, S.E., Akata, Z., Yan, X., Logeswaran, L., Schiele, B., Lee, H.: Generative adversarial text to image synthesis. In: Balcan, M.F., Weinberger, K.Q. (eds.) ICML. JMLR Workshop and Conference Proceedings, vol. 48, pp. 1060–1069. JMLR.org (2016),
2016
Later among the works it cites.
2016
Later among the works it cites.
2016
Later among the works it cites.
Chung, J.S., Senior, A., Vinyals, O., Zisserman, A.: Lip reading sentences in the wild. In: Proc. CVPR (2017)
2017
Closest in time.
Nagrani, A., Chung, J.S., Zisserman, A.: Voxceleb: a large-scale speaker identification dataset. In: INTERSPEECH (2017)
2017
Closest in time.