Research map / 3D vision / Face and shape
FaceScape: A Large-Scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use the proposed detailed riggable face prediction method instead of Extreme3D | 3D face prediction · Source expression | mean error: 2.06 -> 1.22 | Helped |
| Use the proposed detailed riggable face prediction method instead of 3DDFA | 3D face prediction · Source expression | mean error: 2.17 -> 1.22 | Helped |
| Use the proposed detailed riggable face prediction method instead of DFDN | 3D face prediction · Source expression | mean error: 2.19 -> 1.22 | Helped |
| Add dynamic details for rigged expressions rather than reuse only the source-image displacement map (ablation) | FaceScape riggable face prediction · Rigged expressions | expression-caused wrinkle detail | Helped |
| Use a deforming map as network input instead of one-hot target-expression encoding (ablation) | Displacement map prediction network · Expression-dependent facial detail | expression-caused detail | Helped |
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- i3DMM: Deep Implicit 3D Morphable Model of Human Heads (CVPR 2021 · similarity 0.88)
- A 3D Morphable Model Learnt From 10,000 Faces (CVPR 2016 · similarity 0.87)
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