JCTAM OPEN ACCESS

Journal of Computer Technology and Applied Mathematics

ISSN:3007-4126 (print) | ISSN:3007-4134 (online) | Publication Frequency: Bimonthly

OPEN ACCESS|Research Article||2 November 2024

The Technology of Face Synthesis and Editing Based on Generative Models

* Corresponding Author1: Shijie Lyu, E-Mail: slyu41@gatech.edu

Publication

Accepted Unknow ; Published 2024 November 2

Journal of Computer Technology and Applied Mathematics, 2024, 1(4), 3007-4126.

Abstract

This paper reviews the current state of research on generative AI both domestically and internationally, exploring its potential applications and challenges across various fields. In education, generative AI enhances students' academic writing skills and learning outcomes by providing personalized learning support. In design, it facilitates personalized and innovative creations, enabling designers to generate novel ideas through algorithms. Additionally, the application of generative AI in psychology reveals the complex relationship between emotion analysis and social behavior, while in computer vision, it advances facial recognition technology. However, with the widespread use of generative AI, ethical and social responsibility issues are increasingly prominent. This paper emphasizes the importance of establishing appropriate regulations and legal frameworks to ensure the authenticity and morality of generated content, making this a key focus for future research. Overall, generative AI is profoundly transforming research and practice in various fields, and future studies must pay greater attention to its social impact and technological responsibilities.

Keywords

Generative Artificial Intelligence , Computer Vision , Ethical Issues .

Metadata

Pages: 21-27

References: 39

Disciplines: Computer Science

Subjects: Computer Vision

Cite This Article

APA Style

Lyu, S. (2024). The technology of face synthesis and editing based on generative models. Journal of Computer Technology and Applied Mathematics, 1(4), 21-27. https://doi.org/10.5281/zenodo.13853413

Acknowledgments

The authors thank the editor and anonymous reviewers for their helpful comments and valuable suggestions.

FUNDING

Not applicable.

INSTITUTIONAL REVIEW BOARD STATEMENT

Not applicable.

DATA AVAILABILITY STATEMENT

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.

INFORMED CONSENT STATEMENT

Not applicable.

CONFLICT OF INTEREST

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

AUTHOR CONTRIBUTIONS

Not applicable.

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PUBLISHER'S NOTE

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