Research map / 3D vision / Face and shape
FaceVerse: A Fine-Grained and Detail-Controllable 3D Face Morphable Model From a Hybrid Dataset
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use the full FaceVerse base model instead of a base model trained only on the detailed dataset (ablation) | FaceVerse base model · 3D face fitting on the testing set | fitting ability | Helped |
| Add the expression refinement generator after detail generation (ablation) | FaceVerse detailed model · Facial expression geometry | expression detail | Helped |
| Add the normal discriminator (ablation) | FaceVerse detail generator · Generated facial geometry | geometry quality | Helped |
| Use FaceVerse instead of FaceScape, Hifi3DFace, or BFM | 3D parametric model fitting · FaceVerse testing scans | mean absolute error | Helped |
| Use FaceVerse instead of FaceScape, Hifi3DFace, DECA, or 3DDFAv2 | Monocular facial reconstruction · Single-image fitting on the testing set | 3D reconstruction error | Helped |
Closest papers by meaning
- FaceScape: A Large-Scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction (CVPR 2020 · similarity 0.88)
- Nonlinear 3D Face Morphable Model (CVPR 2018 · similarity 0.88)
- Towards High-Fidelity Nonlinear 3D Face Morphable Model (CVPR 2019 · similarity 0.87)
- Regressing Robust and Discriminative 3D Morphable Models With a Very Deep Neural Network (CVPR 2017 · similarity 0.87)
- Data Synthesis with Diverse Styles for Face Recognition via 3DMM-Guided Diffusion (CVPR 2025 · similarity 0.86)
- 3D Gaussian Head Avatars with Expressive Dynamic Appearances by Compact Tensorial Representations (CVPR 2025 · similarity 0.86)
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