Research map / Video / Video segmentation and tracking
Face2Face: Real-Time Face Capture and Reenactment of RGB Videos
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use global non-rigid model-based bundling rather than sparse identity estimation | Face2Face face tracking · Monocular RGB face tracking | identity estimate quality | Helped |
| Synthesize mouth interiors from retrieved and warped target-sequence frames instead of using a generic teeth proxy | Face2Face reenactment · Target video mouth region | visual realism | Helped |
| Use RGB-only tracking instead of requiring depth input | Face2Face face tracking · Monocular RGB video | tracking accuracy | No clear effect |
Closest papers by meaning
- FSRT: Facial Scene Representation Transformer for Face Reenactment from Factorized Appearance Head-pose and Facial Expression Features (CVPR 2024 · similarity 0.87)
- Occlusion-Insensitive Talking Head Video Generation via Facelet Compensation (AAAI 2025 · similarity 0.86)
- FaithfulFaces: Pose-Faithful Facial Identity Preservation for Text-to-Video Generation (NeurIPS 2026 · similarity 0.86)
- Real-time 3D-aware Portrait Video Relighting (CVPR 2024 · similarity 0.85)
- RealPortrait: Realistic Portrait Animation with Diffusion Transformers (AAAI 2025 · similarity 0.85)
- ControlFace: Harnessing Facial Parametric Control for Face Rigging (CVPR 2025 · similarity 0.85)
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