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Existing methods of 3D dense face alignment mainly concentrate on accuracy, thus limiting the scope of their practical applications.
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Koestinger, M., Wohlhart, P., Roth, P.M., Bischof, H.: Annotated facial landmarks in the wild: A large-scale, real-world database for facial landmark localization. In: ICCV Workshop (2011)
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Belhumeur, P.N., Jacobs, D.W., Kriegman, D.J., Kumar, N.: Localizing parts of faces using a consensus of exemplars. TPAMI (2013)
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Cao, C., Weng, Y., Lin, S., Zhou, K.: 3d shape regression for real-time facial animation. TOG (2013)
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Sagonas, C., Tzimiropoulos, G., Zafeiriou, S., Pantic, M.: 300 faces in-the-wild challenge: The first facial landmark localization challenge. In: CVPRW (2013)
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Yang, C.Y., Liu, S., Yang, M.H.: Structured face hallucination. In: CVPR (2013)
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Zhou, E., Fan, H., Cao, Z., Jiang, Y., Yin, Q.: Extensive facial landmark localization with coarse-to-fine convolutional network cascade. In: CVPRW (2013)
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Cao, X., Wei, Y., Wen, F., Sun, J.: Face alignment by explicit shape regression. IJCV (2014)
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Taigman, Y., Yang., M., Ranzato, M., Wolf, L.: Deepface: Closing the gap to human-level performance in face verification. In: CVPR (2014)
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Shen, J., Zafeiriou, S., Chrysos, G.G., Kossaifi, J., Tzimiropoulos, G., Pantic, M.: The first facial landmark tracking in-the-wild challenge: Benchmark and results. In: ICCV Workshops (2015)
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Xiong, X., De, T.F.: Global supervised descent method. In: CVPR (2015)
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Booth, J., Roussos, A., Zafeiriou, S., Ponniah, A., Dunaway, D.: A 3d morphable model learnt from 10,000 faces. In: CVPR (2016)
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Jourabloo, A., Liu, X.: Large-pose face alignment via cnn-based dense 3d model fitting. In: CVPR (2016)
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Liu, F., Zeng, D., Zhao, Q., Liu, X.: Joint face alignment and 3d face reconstruction. In: ECCV (2016)
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Newell, A., Yang, K., Deng, J.: Stacked hourglass networks for human pose estimation. In: ECCV (2016)
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Peng, X., Feris, R.S., Wang, X., Metaxas, D.N.: A recurrent encoder-decoder network for sequential face alignment. In: ECCV (2016)
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Zhu, X., Lei, Z., Liu, X., Shi, H., Li, S.Z.: Face alignment across large poses: A 3d solution. In: CVPR (2016)
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Adam, P., Sam, G., Soumith, C., et al.: Automatic differentiation in PyTorch. In: NIPS Autodiff Workshop (2017)
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Bhagavatula, C., Zhu, C., Luu, K., Savvides, M.: Faster than real-time facial alignment: A 3d spatial transformer network approach in unconstrained poses. In: ICCV (2017)
2017
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Bulat, A., Tzimiropoulos, G.: How far are we from solving the 2d & 3d face alignment problem?(and a dataset of 230,000 3d facial landmarks). In: ICCV (2017)
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Finn, C., Abbeel, P., Levine, S.: Model-agnostic meta-learning for fast adaptation of deep networks. In: ICML (2017)
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Kim, H., Garrido, P., Tewari, A., Xu, W., Thies, J., Nießner, M., Pérez, P., Richardt, C., Zollhöfer, M., Theobalt, C.: Deep video portraits. ACM Transactions on Graphics (TOG) (2018)
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Liu, H., Lu, J., Feng, J., Zhou, J.: Two-stream transformer networks for video-based face alignment. TPAMI (2018)
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Sandler, M., Howard, A., Zhu, M., Zhmoginov, A., Chen, L.C.: Mobilenetv2: Inverted residuals and linear bottlenecks. In: CVPR (2018)
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Cao, J., Hu, Y., Zhang, H., He, R., Sun, Z.: Towards high fidelity face frontalization in the wild. International Journal of Computer Vision pp. 1–20 (2019)
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Guo, J., Zhou, S., Wu, J., Wan, J., Zhu, X., Lei, Z., Li, S.Z.: Multi-modality network with visual and geometrical information for micro emotion recognition. In: 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017). pp. 814–819. IEEE (2017)
2017
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Jackson, A., Bulat, A., Argyriou, V., Tzimiropoulos, G.: Large pose 3d face reconstruction from a single image via direct volumetric cnn regression. In: ICCV (2017)
2017
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Liu, Y., Jourabloo, A., Ren, W., Liu, X.: Dense face alignment. In: ICCV (2017)
2017
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Tewari, A., Zollhofer, M., Kim., H., Garrido, P., Bernard, F., Perez, P., Theobalt, C.: Mofa: Model-based deep convolutional face autoencoder for unsupervised monocular reconstruction. In: ICCV (2017)
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Tuan, T., Hassner, T., Masi, I., Medioni, G.: Regressing robust and discriminative 3d morphable models with a very deep neural network. In: CVPR (2017)
2017
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Yu, R., Saito, S., Li, H., Ceylan, D., Li, H.: Learning dense facial correspondences in unconstrained images. In: ICCV (2017)
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Zafeiriou, S., Chrysos, G.G., Roussos, A., Ververas, E., Deng, J., Trigeorgis, G.: The 3d menpo facial landmark tracking challenge. In: ICCV (2017)
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2019
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Deng, Y., Yang, J., Xu, S., Chen, D., Jia, Y., Tong, X.: Accurate 3d face reconstruction with weakly-supervised learning: From single image to image set. In: CVPR Workshop (2019)
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Gecer, B., Ploumpis, S., Kotsia, I., Zafeiriou, S.: Ganfit: Generative adversarial network fitting for high fidelity 3d face reconstruction. In: CVPR (2019)
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Guo, J., Zhu, X., Xiao, J., Lei, Z., Wan, G., Li, S.Z.: Improving face anti-spoofing by 3d virtual synthesis. In: 2019 International Conference on Biometrics (ICB). pp. 1–8. IEEE (2019)
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Kim, H., Elgharib, M., Zollhöfer, M., Seidel, H.P., Beeler, T., Richardt, C., Theobalt, C.: Neural style-preserving visual dubbing. ACM Transactions on Graphics (TOG) (2019)
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Tewari, A., Bernard, F., Garrido, P., Bharaj, G., Elgharib, M., Seidel, H., Pérez, P., Zollhofer, M., Theobalt, C.: Fml: face model learning from videos. In: CVPR (2019)
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Zhang, M., Lucas, J., Ba, J., Hinton, G.E.: Lookahead optimizer: k steps forward, 1 step back. In: NeurIPS (2019)
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Zhu, X., Liu, X., Lei, Z., Li, S.Z.: Face alignment in full pose range: A 3d total solution. TPAMI (2019)
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Cao, J., Huang, H., Li, Y., He, R., Sun, Z.: Informative sample mining network for multi-domain image-to-image translation. In: Proceedings of the European Conference on Computer Vision (ECCV) (2020)
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Guo, J., Zhu, X., Zhao, C., Cao, D., Lei, Z., Li, S.Z.: Learning meta face recognition in unseen domains. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 6163–6172 (2020)
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Qin, Y., Zhao, C., Zhu, X., Wang, Z., Yu, Z., Fu, T., Zhou, F., Shi, J., Lei, Z.: Learning meta model for zero-and few-shot face anti-spoofing. The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI) (2020)
2020
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Wang, Z., Yu, Z., Zhao, C., Zhu, X., Qin, Y., Zhou, Q., Zhou, F., Lei, Z.: Deep spatial gradient and temporal depth learning for face anti-spoofing. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 5042–5051 (2020)
2020
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Yu, Z., Li, X., Niu, X., Shi, J., Zhao, G.: Face anti-spoofing with human material perception. In: Proceedings of the European Conference on Computer Vision (ECCV) (2020)
2020
Closest in time.
Yu, Z., Zhao, C., Wang, Z., Qin, Y., Su, Z., Li, X., Zhou, F., Zhao, G.: Searching central difference convolutional networks for face anti-spoofing. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 5295–5305 (2020)
2020
Closest in time.
Xu, X., Meng, Q., Qin, Y., Guo, J., Zhao, C., Zhou, F., Lei, Z.: Searching for alignment in face recognition. In: AAAI (2021)
2021
Closest in time.