Deep Energies for Estimating Three-Dimensional Facial Pose and Expression
Author:
Funder
Office of Naval Research
Army Research Laboratory
Amazon
Toyota USA
VMware
Stanford Engineering
Publisher
Springer Science and Business Media LLC
Subject
Computational Mathematics,Applied Mathematics
Link
https://link.springer.com/content/pdf/10.1007/s42967-023-00256-y.pdf
Reference72 articles.
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3. Baker, S., Scharstein, D., Lewis, J., Roth, S., Black, M.J., Szeliski, R.: A database and evaluation methodology for optical flow. Int. J. Comput. Vision 92(1), 1–31 (2011)
4. Bao, M., Cong, M., Grabli, S., Fedkiw, R.: High-quality face capture using anatomical muscles. In: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 10794–10803. IEEE (2019)
5. Bhat, K.S., Goldenthal, R., Ye, Y., Mallet, R., Koperwas, M.: High fidelity facial animation capture and retargeting with contours. In: Proceedings of the 12th ACM SIGGRAPH/Eurographics Symposium on Computer Animation, pp. 7–14. ACM (2013)
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