Thousands of videos are posted on websites and social media every day, including Twitter,
Facebook, WhatsApp, Instagram, and YouTube. Newspapers, law enforcement publications …

In this paper, we propose a novel dual-branch Transformation-Synthesis network (TS-Net),
for video motion retargeting. Given one subject video and one driving video, TS-Net can …

Deep fake technology has recently made tremendous advances that have made it possible
to produce incredibly realistic fake audio, video, and image media. These materials present …

The main challenges in face swapping are the preservation and adaptive superimposition of
attributes of two images. In this study, the Face Swapping Attention Network (FSA-Net) is …

The recent rise of publicly available artificial intelligence (AI) tools such as ChatGPT has
raised a plethora of questions among users and skeptics alike. One major question asks," …

The abstract delves into the groundbreaking realm of DeepFakes, a revolutionary synthesis
of deep learning and synthetic media. Central to DeepFake generation is the utilization of …

Today, artificial intelligence is used to clone human faces, which leads to a new technology
known as “deepfakes.” Recently, machine learning (ML) approaches and the use of deep …

The increasing use of mobile camera technology and the growth of social media using and
sharing have made the generation and publishing of digital videos more suitable than ever …

In the Bangla language, there are 50 complex-shaped characters and working with this
huge amount of characters with an appropriate set of features is a tough problem to …

The proliferation of deep fake content in multimedia has necessitated the development of
robust detection mechanisms. In this study, a comparative analysis of four state-of-the-art …