This technology allows the cheap creation of movies, videos, advertisements, and games. For example 2016’s Rogue One: A Star Wars Story.Īnother huge advantage of deepfake is financial savings. This technology is very useful in the movie industry especially to create characters of the dead artist. Deepfake is a valuable technology when used with the proper training and good intention. it is now hard to distinguish between real and fake media. Deepfakes for goodĭeepfake technology is now widely available and makes realistic videos and photos. on the other hand, deepfakes can morph a person’s face to imitate another person’s features while preserving the original feature expressions such as talking, smiling, and emotional expressions. If we morph A with B, it cannot match the expression of B. The key difference between deepfake and older face-swapping techniques is face-swapping only works with preexisting pictures. The final step does not use machine learning techniques and the algorithm is hardcoded where it lacks flexibility. In the last step, creation, merge the converted face back with the original frame. The training step trains each aligned face using a neural network to convert the face to another face. In the extraction s tep, extracting all the frames from video clips, identify and align the faces.

Deep learning techniques require a lot of data so, deepfake uses video clips with the feature the people who want to face swap. It has three steps extracting, training and creation. Deepfakes are fake videos, images, or audios which look real.Īccording to the definition, Deepfakes are digital media where a person in an image or a video is replaced with someone else’s likeness by using machine learning and deep learning techniques. Nowadays, Deepfake videos, audios, and images are very popular.

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