3D Facial Landmark Localization
3 papers with code • 3 benchmarks • 3 datasets
Image: Zhang et al
Benchmarks
These leaderboards are used to track progress in 3D Facial Landmark Localization
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AFLW2000-3D
3DFAW
H3WB
Most implemented papers
Pre-training strategies and datasets for facial representation learning
1adrianb/unsupervised-face-representation
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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
HongwenZhang/JVCR-3Dlandmark
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IEEE Transactions on Image Processing 2019
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
wholebody3d/wholebody3d
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ICCV 2023
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.
