Quick Overview of Face Swap Deep Fakes

Abstract

Deep Fake technology has developed rapidly in its generation and detection in recent years. Researchers in both fields are outpacing each other in their axes achievements. The works use, among other methods, autoencoders, generative adversarial networks, or other algorithms to create fake content that is resistant to detection by algorithms or the human eye. Among the ever-increasing number of emerging works, a few can be singled out that, in their solutions and robustness of detection, contribute significantly to the field. Despite the advancement of emerging generative algorithms, the fields are still left for further research. This paper will briefly introduce the fundamentals of some the latest Face Swap Deep Fake algorithms.

Fast Fake: Easy-to-Train Face Swap Model

“…Referring to previous work [4] on comparisons of face replacement methods, there are two main approaches to the topic: "target-based" solutions, based on extracting the identity of a person from the source image and placing it in the target image while maintaining all the characteristic features of the target image, and "source-based" approaches, in which only facial attributes in the target video/image are modified [4]. The target-based solution gives the user more control over scene development.…”

“…In GAN models, two competing models seek a balance between the discriminator and the gener-ator. These models are susceptible to collapse, and their training is relatively slow, but they are still leaders among generative models [4,[24][25][26]. The last model is the diffusion model, which, through the use of interconnected popular U-net models (also used in GAN models) [27], aims to generate samples through sequential denoising guided by specific conditions [28,29].…”

“…In the era of the growing popularity of "Deep fake" technology [2][3][4][5][6], more and more attention is being paid to the possibilities of content manipulation. Although fascinating, the ability to swap one face for another carries enormous potential and numerous challenges.…”