Temporal Coherence Detection Model
Overview
Modern video deepfakes rely on powerful generative models to synthesize realistic faces and seamlessly blend them into real footage. While individual frames may appear convincing, these systems often struggle to maintain consistent geometry, texture, and blending across space and time.
Our Temporal Coherence Detection Model is designed to identify these inconsistencies by analyzing both frame-level visual artifacts and cross-frame temporal irregularities. The model captures subtle manipulation signals while maintaining awareness of the overall facial structure and scene context for reliable detection of deepfakes that evade traditional CNN-based detectors and appear visually convincing to human observers.
🌟 Key Features
| Feature | Description |
|---|---|
| 🎥 Temporal Consistency Analysis | Detects frame-to-frame inconsistencies introduced during face synthesis and blending |
| 📐 Geometric Distortion Detection | Recognizes subtle misalignments in facial structure and landmarks |
| ⚡ Multi-Frame Rate | Processes videos at various frame rates seamlessly |
⚙️ How It Works
Our temporal coherence detection pipeline follows a sophisticated multi-stage process:
1. 🔍 Hierarchical Feature Extraction
- Local attention to capture fine-grained artifacts
- Cross-window attention to capture global structure
- Multi-scale feature representation for both textures and geometry
2. 🔄 Temporal Modeling
- Captures temporal dynamics using self-attention across frames
- Models long-range dependencies for comprehensive analysis
- Captures subtle temporal inconsistencies like flickering textures, unnatural facial movements, and inconsistent lighting across frames
3. 📊 Confidence Scoring
- Generates detailed confidence scores for each frame
- Provides frame-by-frame analysis results
- Combines spatial and temporal indicators for final assessment
4. 🖼️ Static Image Handling
- For static images, there is no temporal aspect analyzed
📥 Input Specifications
Supported Formats
🎥 Video Input
- Formats: MP4, YouTube URLs
- Requirements: Audio and visual tracks
- Resolution: 360p minimum, higher resolutions supported
- Frame Rates: Variable frame rate support