State-of-the-Art in 3D Face Reconstruction from a Single RGB Image-Reference-Cited by-同舟云学术

State-of-the-Art in 3D Face Reconstruction from a Single RGB Image

Published:2021 Issue: Volume: Page:31-44
ISSN:0302-9743
Container-title:Computational Science – ICCS 2021
language:
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Author:

Fu Haibin^ORCID,Bian Shaojun^ORCID,Chaudhry Ehtzaz^ORCID,Iglesias Andres^ORCID,You Lihua^ORCID,Zhang Jian Jun^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-77977-1_3

Reference60 articles.

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3. Zhu, X., Lei, Z., Yan, J., Yi, D., Li, S.-Z.: High-fidelity pose and expression normalization for face recognition in the wild. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 787–796 (2015)

4. Li, Y., Ma, L., Fan, H., Mitchell, K.: Feature-preserving detailed 3D face reconstruction from a single image. In: Proceedings of the 15th ACM SIGGRAPH European Conference on Visual Media Production, pp. 1–9 (2018)

5. Garrido, P., et al.: Reconstruction of personalized 3D face rigs from monocular video. ACM Trans. Graph. (TOG) 35(3), 1–15 (2016)

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