Reliable Facial Forgery Detection

Dr Simmi Dutta; Aditya Sharma; Ruban Nazir Shah; Harsharan Singh Raina

Reliable Facial Forgery Detection

Authors: Dr Simmi Dutta, Aditya Sharma, Ruban Nazir Shah, Harsharan Singh Raina

Unique Paper ID: 150064
Volume: 7
Issue: 2
PageNo: 279-283

Keywords: Deepfakes FaceForensics Resnet XceptionNet

Abstract:
The free access to large-scale public databases, alongside the fast progress of deep learning techniques, especially Generative Adversarial Networks, have led to the generation of very realistic fake contents which can be threatening and have various implications in today's world where enforcing fake news is pretty simple. This survey provides a radical review of techniques for manipulating face images including DeepFake methods, and methods to detect such manipulations. These techniques are, face synthesis, face identity swap, facial attributes manipulation, and countenance manipulation. For each manipulation type, we offer details regarding manipulation techniques, existing public databases, and key benchmarks for technology evaluation of faux detection methods, including a summary of results from those evaluations.

Download article

email to a friend

Cite This Article

ISSN: 2349-6002
Volume: 7
Issue: 2
PageNo: 279-283

Reliable Facial Forgery Detection

Available:https://ijirt.org/Article?manuscript=150064

18 Jul, 2020

MOTION SENSING GLOVES FOR ARTHRITIS PATIENTS

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

Join Our IPN

IJIRT Partner Network

Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.

Join Now