Research map / 3D vision / Face and shape
Face Alignment Across Large Poses: A 3D Solution
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use synthesized large-pose training data from face profiling (ablation) | RCPR · AFLW [60,90] | NME(%): 20.61 -> 11.53 | Helped |
| Use synthesized large-pose training data from face profiling (ablation) | ESR · AFLW [60,90] | NME(%): 20.02 -> 11.94 | Helped |
| Use synthesized large-pose training data from face profiling (ablation) | SDM · AFLW [60,90] | NME(%): 16.13 -> 9.34 | Helped |
| Add SDM landmark refinement (ablation) | 3DDFA · AFLW Mean | NME(%): 5.60 -> 5.32 | Helped |
| Add SDM landmark refinement (ablation) | 3DDFA · AFLW2000-3D Mean | NME(%): 5.42 -> 4.94 | Helped |
| Add SDM landmark refinement (ablation) | 3DDFA · 300W Challenging | NME(%): 10.59 -> 9.56 | Helped |
| Add SDM landmark refinement (ablation) | 3DDFA · 300W Full | NME(%): 7.01 -> 6.31 | Hurt |
| Regenerate cascade initializations using similar-face-posture samples (ablation) | 3DDFA · 300W-LP test split | testing error | Helped |
| Use WPDC instead of PDC (ablation) | 3DDFA · 300W-LP testing | testing error | Helped |
| Use WPDC instead of VDC (ablation) | 3DDFA · 300W-LP testing | testing error | Helped |
Closest papers by meaning
- Large-Pose Face Alignment via CNN-Based Dense 3D Model Fitting (CVPR 2016 · similarity 0.91)
- DSFNet: Dual Space Fusion Network for Occlusion-Robust 3D Dense Face Alignment (CVPR 2023 · similarity 0.89)
- LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood (CVPR 2020 · similarity 0.88)
- Look at Boundary: A Boundary-Aware Face Alignment Algorithm (CVPR 2018 · similarity 0.87)
- Learning From Millions of 3D Scans for Large-Scale 3D Face Recognition (CVPR 2018 · similarity 0.87)
- FaceLift: Semi-supervised 3D Facial Landmark Localization (CVPR 2024 · similarity 0.86)
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