How DEEPFAKE technology works #shorts #deepfake

Introduction

A face swap video can be created in a few simple steps. The two people's thousands of face images are first put through an encoder, an AI algorithm, in order to compress the images. The encoder finds and learns similarities between the two faces, reducing them to their shared features. The faces in the compressed images are then taught to be recovered by a second AI algorithm known as a decoder. You train one decoder to recover the first person's face and another decoder to recover the second person's face. Because the faces are different, you simply feed encoder images into the wrong decoder to carry out the face swap. For instance, the decoder trained on person B is fed a compressed image of person A's face. Using the features and positioning of person A's face, the decoder reconstructs the face of person B.

Keywords

face swap, AI algorithm, encoder, decoder, deepfake, image compression, facial reconstruction

FAQ

1. What is the process of creating a face swap video using deepfake technology?
2. How do encoders and decoders work together in deepfake technology?
3. What are the key components involved in the deepfake process?
4. Is deepfake technology only used for face swapping, or are there other applications as well?
5. What are the potential risks and ethical concerns associated with deepfake technology?