Research map / 3D vision / Face and shape
High-Quality Face Capture Using Anatomical Muscles
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use blendshape-driven anatomical muscle simulation instead of a pure blendshape model | Face capture targeting 3D geometry · Captured facial geometry | anatomical plausibility | Helped |
| Use blendshape-driven anatomical muscle simulation instead of a pure blendshape model | Face capture targeting 3D geometry · Captured facial geometry | muscle activation sparsity | Helped |
| Use blendshape-driven anatomical muscle simulation instead of a pure blendshape model | Face capture from monocular RGB images · 66-frame facial performance | anatomical plausibility | Helped |
| Use muscle simulation rather than blendshapes | Face capture from monocular RGB images · 66-frame facial performance | semantic interpretability | Mixed |
| Use blendshape-driven muscle simulation rather than pure blendshapes | Pucker-pose fitting · Captured facial geometry | pucker tightness | Mixed |
Closest papers by meaning
- Anatomically Constrained Implicit Face Models (CVPR 2024 · similarity 0.87)
- Electromyography-Informed Facial Expression Reconstruction for Physiological-Based Synthesis and Analysis (CVPR 2025 · similarity 0.85)
- Biomechanics-Guided Facial Action Unit Detection Through Force Modeling (CVPR 2023 · similarity 0.85)
- Monocular Real-Time Full Body Capture With Inter-Part Correlations (CVPR 2021 · similarity 0.84)
- RGBAvatar: Reduced Gaussian Blendshapes for Online Modeling of Head Avatars (CVPR 2025 · similarity 0.82)
- LeGO: Leveraging a Surface Deformation Network for Animatable Stylized Face Generation with One Example (CVPR 2024 · similarity 0.81)
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