3D Facial Landmark Localization
3 papers with code • 3 benchmarks • 3 datasets
Image: Zhang et al
Recent work on Deep Learning in the area of face analysis has focused on supervised learning for specific tasks of interest (e. g. face recognition, facial landmark localization etc.)
Then, an end-to-end pipeline is designed to jointly regress the proposed volumetric representation and the coordinate vector.
We also propose three tasks: i) 3D whole-body pose lifting from 2D complete whole-body pose, ii) 3D whole-body pose lifting from 2D incomplete whole-body pose, and iii) 3D whole-body pose estimation from a single RGB image.