Research map / 3D vision / Face and shape
ImFace: A Nonlinear 3D Morphable Face Model With Implicit Neural Representations
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use disentangled identity and expression deformation fields instead of one shared field (ablation) | ImFace · FaceScape test set | Chamfer (mm): 0.772 -> 0.625 | Helped |
| Use disentangled identity and expression deformation fields instead of one shared field (ablation) | ImFace · FaceScape test set | F-score@0.001: 82.70 -> 91.11 | Helped |
| Use Neural Blend-Field instead of parameter-matched vanilla MLPs (ablation) | ImFace · FaceScape test set | Chamfer (mm): 0.767 -> 0.625 | Helped |
| Use Neural Blend-Field instead of parameter-matched vanilla MLPs (ablation) | ImFace · FaceScape test set | F-score@0.001: 82.37 -> 91.11 | Helped |
| Assign expression embeddings to individual non-neutral scans rather than expression categories (ablation) | ImFace · FaceScape test set | Chamfer (mm): 0.705 -> 0.625 | Helped |
| Assign expression embeddings to individual non-neutral scans rather than expression categories (ablation) | ImFace · FaceScape test set | F-score@0.001: 86.98 -> 91.11 | Helped |
Closest papers by meaning
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- LeGO: Leveraging a Surface Deformation Network for Animatable Stylized Face Generation with One Example (CVPR 2024 · similarity 0.87)
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