prithvicatalog/DeepGuard-NR-A-Multimodal-Deep-Learning-Framework-for-Detecting-Neural-Rendering-Deepfakes: DeepGuard-NR v1.0.0 – version submitted to Image and Vision Computing
Source code for DeepGuard-NR, a multimodal deep learning framework for detecting neural-rendering deepfakes. It combines four forensic branches (EfficientNet and DCT artifact analysis, MiDaS-based depth consistency, Mamba state space temporal modeling, and lighting/physics analysis) through a feature-fusion MLP, with Grad-CAM++ explainability. The repository includes the training and evaluation pipeline, a FastAPI backend, and a React frontend. Accompanies the manuscript submitted to Image and Vision Computing.
Resource information
- Format
- zip
- Original repository
- 23641975
- DOI
- 10.5281/zenodo.23641975
- Credit basis
- Creators in Zenodo record metadata
- Access
- Open files available from the original Zenodo deposit
- Last checked
- Nov 5, 2026
- License
- cc-by-4.0
- Last record update
- Nov 5, 2026
About this resource
Source code for DeepGuard-NR, a multimodal deep learning framework for detecting neural-rendering deepfakes. It combines four forensic branches (EfficientNet and DCT artifact analysis, MiDaS-based depth consistency, Mamba state space temporal modeling, and lighting/physics analysis) through a feature-fusion MLP, with Grad-CAM++ explainability. The repository includes the training and evaluation pipeline, a FastAPI backend, and a React frontend. Accompanies the manuscript submitted to Image and Vision Computing.