How Do You Do DeepFakes?
As discussed above, deepfakes run of neural network type (autoencoder) which decreases the image’s latent space and reconstructs it from the provided input. In this, the AI trains itself on how the manipulation has to be done and then copies the elements of the key features such as facial expressions, posture, etc. The processing is being done in frames for each element like talking, iris movement, body action, etc.
For such activity, a large set of data is being fed into the deepfakes so that their AI-based algorithm start processing which later converts the desired output into two chunks i.e. motion estimator and video generator.
Motion Estimator – It is used to perform the analysis of image sequencing and motion vector based on which the image transformation is being performed.
Video Generator – They use AI-based technology that makes realistic videos like human interaction.
What Are DeepFakes And How Dangerous Are They?
Did you hate the last season of Game of Thrones? Most probably! Did you also watch the online video of Jon Snow saying sorry for the horrible script of season 8? That video obviously wasn’t a real video as Jon Snow knows nothing! It was actually a fake but it looked so real. That’s because it was a DeepFake video made using Artificial Intelligence. Are you wondering what DeepFake is? Let’s check it out! DeepFake uses Deep Learning, a subset of Machine Learning, to create videos that look real but are actually fake. It is basically a technology that can replace the face of a person in an image or a video with so much precision that it looks real. Or it can make a person say something on a video that they never actually said in real life. “What you see is what you get” is no longer true on the internet because of DeepFakes. And that is how you can see Jon Snow blaming the last season of Game of Thrones when this never actually happened!
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