sastraadiwiguna-purpleeliteteaming Hyper-Fidelity-SAEHD-Pipeline-Neural-Reconstruct-Elite
Abstract
This repository contains the Deterministic Pipeline for high-fidelity facial reconstruction through Generative Adversarial Networks (GANs). Unlike standard consumer-grade face-swapping, this framework is optimized for Reverse Engineering Resistant outputs. It utilizes a custom Sinusoidal AutoEncoder High Definition (SAEHD) architecture to achieve temporal consistency and skin-tone accuracy with a Delta-E variance of < 2.0. The core mission of this pipeline is to provide a holistic environment for Red Teaming (vulnerability assessment of biometric systems) and Blue Teaming (developing robust deepfake detection countermeasures).
Fields of Study & Subjects
Digital Media Forensic Detection
Generative Adversarial Networks and Image Synthesis
Face recognition and analysis
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 17 January 2026