Face Swapping – For Entertainment and Educa...

Face Swapping – For Entertainment and Education Through Deep Learning and Computer Vision

Author Name : Er. Anchal Kamra, Ravi Ranjan, Sarthak Puri, Nitish Garg, Utkarsh Anand, Mukesh Kumar Thakur

DOI: https://doi.org/10.56025/IJARESM.2023.1111231075

ABSTRACT 

Face swapping technology has witnessed significant advancements in recent years, driven by the integration of advanced deep learning and computer vision techniques. This project presents a comprehensive exploration of the transformative potential of face swapping in the realms of entertainment and education. Through a meticulous analysis of the historical evolution, critical challenges, and ethical considerations, this study highlights the intricate nuances of morphing faces using cutting-edge technology. Leveraging a thorough literature review and a detailed methodology, the project demonstrates the implementation of a novel face swapping algorithm that integrates state-of-the-art deep learning models and computer vision techniques. The implementation analysis provides insights into the performance, accuracy, and computational efficiency of the developed system. Additionally, ethical considerations and privacy implications associated with the technology are critically examined, emphasizing responsible and conscientious usage. The findings underscore the significance of face swapping in reshaping visual narratives, with implications for various domains, including entertainment, education, and digital media. This project contributes to the growing body of research in the field, paving the way for future advancements and responsible applications of face swapping technology.