Improved DeepFake Image Generation Using StyleGAN2-ADA with Real-Time Personal Image Projection

Authors

DOI:

https://doi.org/10.12928/biste.v7i4.14659

Keywords:

DeepFake Image Generation, StyleGAN2-ADA, Generative Adversarial Networks, Real-Time Projection, Personal Image Dataset, Adaptive Discriminator Augmentation

Abstract

This paper presents an improved approach for DeepFake image generation using StyleGAN2-ADA framework. The system is designed to generate high-quality synthetic facial images from a limited dataset of personal photos in real time. By leveraging the Adaptive Discriminator Augmentation (ADA) mechanism, the training process is stabilized without modifying the network architecture, enabling robust image generation even with small-scale datasets. Real-time image capturing and projection techniques are integrated to enhance personalization and identity consistency. The experimental results demonstrate that the proposed method achieve a very high generation performance, significantly outperforming the baseline StyleGAN2 model. The proposed system using StyleGAN2-ADA achieves 99.1% identity similarity, a low Fréchet Inception Distance (FID) of 8.4, and less than 40 ms latency per generated frame. This approach provides a practical solution for dataset augmentation and supports ethical applications in animation, digital avatars, and AI-driven simulations.

Author Biographies

Ali A. Abed, University of Basrah

Ali A. Abed, Professor at the University of Basrah - Department of Mechatronics Engineering in Iraq. Received the B.Sc. & M.Sc. degrees in Electrical Engineering in 1996 & 1998 respectively. He received the Ph.D. in Computer & Control Engineering in 2012. His fields of interest are Robotics, Computer Vision, and IIoT. He is IEEE senior member, IEEE member in Robotics & Automation Society, IEEE member in IoT Community, member ACM. He is currently supervising a group of researchers working with developing deep learning models for computer vision and cybersecurity applications. He can be contacted at email: ali.abed@uobasrah.edu.iq.

Doaa Alaa Talib, Shatt Al-Arab University College

Doaa Alaa Talib Assistant lecturer at the Department of Laser and Optoelectronics Engineering-Shatt Al-Arab University College,  Basrah, Iraq. Received the B.Sc & M.Sc degree in Computer Engineering in 2015 & 2023. Her field of interest is Computer Vision and Deepfake. She is currently a group researcher working in developing deep learning models and algorithms in Python. She can be contacted at: duaaalaaa@gmail.com

Abdel-Nasser Sharkawy, Qena University

Abdel-Nasser Sharkawy is an associate Professor at Mechatronics Engineering, Mechanical Engineering Department, Faculty of Engineering, South Valley University (SVU), Qena, Egypt. Sharkawy was graduated with a first-class honors B.Sc. degree in May 2013 and received his M.Sc. degree in April 2016 from Mechatronics Engineering, Mechanical Engineering Department, SVU, Egypt. In March 2020, Sharkawy received his Ph.D. degree from Robotics Group, Department of Mechanical Engineering and Aeronautics, University of Patras, Patras, Greece. His PhD was about “Intelligent Control and Impedance Adjustment for Efficient Human-Robot Cooperation”. Sharkawy has an excellent experience for teaching the under-graduate and postgraduate courses in the field of Mechatronics and Robotics Engineering. Sharkawy has published more than 80 papers in international scientific journals, book chapters and international scientific conferences. He serves as reviewer for about 50 journals and 10 conferences. His research areas of interest include robotics, human-robot interaction, mechatronic systems, neural networks, machine learning, and control and automation.

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Published

2025-12-06

How to Cite

[1]
A. A. Abed, D. A. Talib, and A.-N. Sharkawy, “Improved DeepFake Image Generation Using StyleGAN2-ADA with Real-Time Personal Image Projection”, Buletin Ilmiah Sarjana Teknik Elektro, vol. 7, no. 4, pp. 980–992, Dec. 2025.

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Vol. 7 No. 4 (2025): December

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Copyright (c) 2025 Ali A. Abed, Doaa Alaa Talib, Abdel-Nasser Sharkawy

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