3D Face Mesh Models
Attention Mesh
Introduced by Grishchenko et al. in Attention Mesh: High-fidelity Face Mesh Prediction in Real-timeAttention Mesh is a neural network architecture for 3D face mesh prediction that uses attention to semantically meaningful regions. Specifically region-specific heads are employed that transform the feature maps with spatial transformers.
Source: Attention Mesh: High-fidelity Face Mesh Prediction in Real-time
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Feature Engineering | 1 | 25.00% |
| Anatomy | 1 | 25.00% |
| General Classification | 1 | 25.00% |
| Jet Tagging | 1 | 25.00% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
