09:00-10:20 (Basic Topics - Optimization-based Approaches)
- Motivation of Face Tracking
- Outline of the Tutorial:
- Generative vs Discriminative Approaches
- Foundations
- Geometry, Texture/Albedo
- Image Formation (Camera Models, Illumination Models)
- Morphable Models
- Generative Approaches -- Analysis-by-Synthesis
- Applications
- Face2Face, FaceVR, HeadOn, VDub, FaceForge, ...
10:20-10:40 (Coffee break)
10:40-12:00 (Advanced Topics - DL-based Approaches)
- Deep Learning for Face Reconstruction / Tracking
- ML Introduction
- InverseFaceNet
- MoFA
- Self-supervised Multi-level Face Model Learning
- Hybrid Approaches - Deep Learning for Synthesis
- Open Challenges
- Social Implications