A Survey On Deepfake Image Generation Using Sketch

K.N. Agalave, Kudale Akanksha Narayan, Modale Shreya Anil and Tabe Pragati Shadanan

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2023, vol. 9, issue 10, 103-107

Abstract: The rapid advancement of deep fake technology presents unprecedented challenges to society, particularly in the realm of cybercrime and misinformation. Law enforcement agencies are faced with the growing threat of manipulated images, making it imperative to develop innovative solutions that can discern between authentic and fabricated visual content.

Keywords: Deep fake; Machine Learning; Generative AI; Deep Learning. (search for similar items in EconPapers)
Date: 2023
Note: Article URL: https://ijsrcseit.com/CSEIT2361018
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ijsrcseit.com/CSEIT2361018 Article URL (text/html)
https://ijsrcseit.com/paper/CSEIT2361018.pdf Full text (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:jbh:ijsrcs:v9:y2023:i10:id:hcseit2361018

Access Statistics for this article

More articles in International Journal of Scientific Research in Computer Science, Engineering and Information Technology from International Journal of Scientific Research in Computer Science, Engineering and Information Technology
Bibliographic data for series maintained by Pankaj Sharma (USA) ().