Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{180411,
author = {Dr Anuradha Misra and Naman Chawla},
title = {Automatic Creation Of An AI Presenter Using An Educator's Photo},
journal = {International Journal of Innovative Research in Technology},
year = {2025},
volume = {12},
number = {1},
pages = {1563-1570},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=180411},
abstract = {Portrait animation has undergone a transformative evolu-tion, transitioning from traditional diffusion-based frame-works to efficient methods that leverage implicit keypoint representations. These advancements have enabled realis-tic facial animations with greater computational efficiency and controllability, addressing challenges in achieving real-time performance. LivePortrait represents a cutting-edge framework that combines implicit keypoint optimiza-tion, stitching modules, and landmark-guided retargeting to create lifelike animations. This report synthesizes the latest research and comparative studies on portrait ani-mation technologies, with a detailed focus on LivePor-trait’s methodologies and practical implementations. Fur-thermore, this report explores enhancements to bridge the gap between static imagery and realistic avatars, paving the way for advanced applications in entertainment, edu-cation, and virtual communication. By adhering to a Sco-pus-style format, this document aims to provide a com-prehensive resource for researchers and developers.},
keywords = {},
month = {June},
}
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