3D Facial Landmark Localization
4 papers with code • 4 benchmarks • 5 datasets
Image: Zhang et al
Most implemented papers
Pre-training strategies and datasets for facial representation learning
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.)
Adversarial Learning Semantic Volume for 2D/3D Face Shape Regression in the Wild
Then, an end-to-end pipeline is designed to jointly regress the proposed volumetric representation and the coordinate vector.
H3WB: Human3.6M 3D WholeBody Dataset and Benchmark
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.
3D-LFM: Lifting Foundation Model
The lifting of 3D structure and camera from 2D landmarks is at the cornerstone of the entire discipline of computer vision.