An Exploratory Analysis on Visual Counterfeits Using Conv-LSTM Hybrid Architecture

An Exploratory Analysis on Visual Counterfeits Using Conv-LSTM Hybrid Architecture

In recent years, with the advancements in the Deep Learning realm, it has been easy to create and generate synthetically the face swaps from GANs and other tools, which are very realistic, leaving few traces which are unclassifiable by human eyes. These are known as `DeepFakes' and most of them...

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Bibliographic Details
Main Authors: Mohammad Farukh Hashmi, B. Kiran Kumar Ashish, Avinash G. Keskar, Neeraj Dhanraj Bokde, Jin Hee Yoon, Zong Woo Geem
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
DeepFakes
generative adversarial network (GANs)
facial landmarks
convolutional neural networks (CNN)
recurrent neural network (RNN)
visual counterfeits
Online Access:https://ieeexplore.ieee.org/document/9102991/

Internet

https://ieeexplore.ieee.org/document/9102991/

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