Research map / 3D vision / Face and shape
3D Face Morphable Models "In-The-Wild"
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use an in-the-wild feature-based texture model instead of the texture-free linear model | ITW 3DMM · KF-ITW | AUC: 0.615 -> 0.678 | Helped |
| Use an in-the-wild feature-based texture model instead of the texture-free linear model | ITW 3DMM · KF-ITW | Failure Rate (%): 4.02 -> 1.79 | Helped |
| Use an in-the-wild feature-based texture model instead of the classic laboratory texture model and lighting equation | ITW 3DMM · KF-ITW | AUC: 0.531 -> 0.678 | Helped |
| Use an in-the-wild feature-based texture model instead of the classic laboratory texture model and lighting equation | ITW 3DMM · KF-ITW | Failure Rate (%): 13.9 -> 1.79 | Helped |
| Use project-out optimization instead of simultaneous optimization (ablation) | ITW 3DMM fitting · 3DMM fitting experiments | runtime | Helped |
| Use project-out optimization instead of simultaneous optimization (ablation) | ITW 3DMM fitting · 3DMM fitting experiments | fitting performance | No clear effect |
| Mask the texture residual by selecting a small random subset of visible vertices (ablation) | ITW 3DMM fitting · 3DMM fitting | accuracy | No clear effect |
Closest papers by meaning
- Nonlinear 3D Face Morphable Model (CVPR 2018 · similarity 0.91)
- Towards High-Fidelity 3D Face Reconstruction From In-the-Wild Images Using Graph Convolutional Networks (CVPR 2020 · similarity 0.90)
- Learning Complete 3D Morphable Face Models From Images and Videos (CVPR 2021 · similarity 0.90)
- Pixel3DMM: Versatile Screen-Space Priors for Single-Image 3D Face Reconstruction (ICLR 2026 · similarity 0.90)
- Data Synthesis with Diverse Styles for Face Recognition via 3DMM-Guided Diffusion (CVPR 2025 · similarity 0.87)
- 3D Gaussian Head Avatars with Expressive Dynamic Appearances by Compact Tensorial Representations (CVPR 2025 · similarity 0.86)
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