Towards Fast, Accurate and Stable 3D Dense Face Alignment

european conference on computer vision, pp. 152-168, 2020.

Cited by: 0|Bibtex|Views27|DOI:https://doi.org/10.1007/978-3-030-58529-7_10
Other Links: arxiv.org|academic.microsoft.com

Abstract:

Existing methods of 3D dense face alignment mainly concentrate on accuracy, thus limiting the scope of their practical applications. In this paper, we propose a novel regression framework which makes a balance among speed, accuracy and stability. Firstly, on the basis of a lightweight backbone, we propose a meta-joint optimization strat...More

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