Research map / 3D vision / Face and shape
Biomechanics-Guided Facial Action Unit Detection Through Force Modeling
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| combine 3D force and position instead of using either alone (ablation) | 3D physics branch · BP4D | average F1 (%): 46.4 and 53.9 -> 57.3 | Helped |
| combine the physics branch with the image branch (ablation) | AU detection model · BP4D | average F1 (%): 57.3 and 58.7 -> 64.1 | Helped |
| add 3D reconstruction loss (ablation) | AU detection model · BP4D, 50% training data | average F1 (%): 39.0 -> 46.2 | Helped |
| add 3D reconstruction loss (ablation) | AU detection model · BP4D, 20% training data | average F1 (%): 34.7 -> 44.3 | Helped |
| add 3D reconstruction loss (ablation) | AU detection model · BP4D, 5% training data | average F1 (%): 27.9 -> 33.0 | Helped |
| use the biomechanics-based physics branch rather than the data-driven model | cross-dataset AU detection · BP4D to DISFA (overlapping AUs) | average F1 (%): 32.1 -> 38.8 | Helped |
| use the proposed method instead of FAU | AU detection · BP4D | average F1 (%): 64.2 -> 64.1 | Hurt |
| use the proposed method instead of FAU | AU detection · DISFA | average F1 (%): 61.5 -> 58.2 | Hurt |
| use biomechanics-based force prediction instead of image-only prediction (ablation) | AU1 detection · BP4D | F1 (%): 46.3 -> 58.6 | Helped |
| use biomechanics-based force prediction instead of image-only prediction (ablation) | AU15 detection · BP4D | F1 (%): 48.1 -> 29.4 | Hurt |
| add force and position physics features to image features (ablation) | AU detection model · BP4D | F1 (%): AU1: 46.3 -> 57.4; AU15: 48.1 -> 47.3 | Mixed |
Closest papers by meaning
- Electromyography-Informed Facial Expression Reconstruction for Physiological-Based Synthesis and Analysis (CVPR 2025 · similarity 0.84)
- Muscles in Time: Learning to Understand Human Motion In-Depth by Simulating Muscle Activations (NeurIPS 2024 · similarity 0.84)
- PhysPT: Physics-aware Pretrained Transformer for Estimating Human Dynamics from Monocular Videos (CVPR 2024 · similarity 0.83)
- AUEditNet: Dual-Branch Facial Action Unit Intensity Manipulation with Implicit Disentanglement (CVPR 2024 · similarity 0.82)
- DIFFTACTILE: A Physics-based Differentiable Tactile Simulator for Contact-rich Robotic Manipulation (ICLR 2024 · similarity 0.81)
- DeformMaster: An Interactive Physics-Neural World Model for Deformable Objects from Videos (NeurIPS 2026 · similarity 0.81)
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