Reface-Ai
Year: 2025
Type: conference-paper
Abstract: RefaceAI is an advanced deep learning-based face swapping system designed to deliver high-quality, realistic face replacement in images and videos. Leveraging state-of-the-art generative adversarial networks (GANs) and computer vision techniques, RefaceAI achieves seamless identity transformation while preserving facial expressions and contextual details. This project focuses on improving the accuracy, speed, and robustness of face swap models, making them practical for applications in entertainment, virtual reality, and digital media production. The research addresses key challenges such as preserving facial features, handling diverse lighting conditions, and minimizing artifacts. Results demonstrate significant improvements over existing methods, highlighting RefaceAI’s potential to redefine AI-driven face manipulation technologies with ethical considerations in place.
Authors: Desai, Rohit Mahadev, Bamane, Akhilesh Babasab, Javalkoti, Prasad Shivchal, Harge, Ganesh Shanker, Mohite, Vishesh Shantaram
Institution: Government of Maharashtra
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W6930804644
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