![]() In this method, one AI, referred to as the generator, is fed random noise which is turned into an image. ![]() Making deep fakes using a GAN involves pitting two AI algorithms against one another, hence the term Adversarial. Using A General Adversarial Network (GAN) This has to be done on every frame in the video, however, so it is insanely CPU intensive. The encoder will then reconstruct FACE A with the expressions and orientations of FACE B. The magic happens when you feed the wrong face into the wrong encoder, so FACE A is fed into encoder B, and FACE B is fed into encoder A. ![]() But when you’re making deep fakes, you use two encoders and you get one to recover one face and the other encoder to recover the other one. And the encoder’s job is to recover the faces from the compressed files. This is when the second algorithm comes into play it is called an encoder. The encoder then finds similarities between the two, things that match effectively. With this method, you feed thousands of photos of two faces into an AI algorithm called an encoder. Most deep fake videos – at least, the most convincing ones – are made in one of two ways: Using An AI Encoder The “professional” deep fake videos that are most popular online are the product of hundreds of hours of work, and a heck of a lot of computing power. From here, deep fake videos grew and grew, covering everything from parodies to satire and literally everything else in between. It was these initial NSFW videos that first brought the concept of deep fake to the masses. These deep fake videos were, once again, pornographic in nature and featured female celebrities like Gal Gadot, Taylor Swift, and Scarlett Johansson. Deep fakes – as we know them – were born on 2017 and initially published on Reddit by a user called Deep Fake. Hollywood isn’t behind the current glut of deep fake videos you’ll find online instead, it is savvy computer geeks with, arguably, way too much time on their hands. Recent innovations like de-aging, which was used extensively on The Irishman, making Robert De Niro, Al Pacino, and Joe Pesci look decades younger, are just one example of how reality can be warped using computer technology. ![]() Hollywood has been pushing the boundaries of what is possible with visual effects for decades. 99% of the videos were also of female celebrities. According to a report from Deeptrace, upwards of 96% of all deep fake videos are pornographic in nature – and the number has doubled during the first nine months of 2021. The VAST majority of deep fake videos are NSFW in nature. Others include Jon Snow apologizing for the Game of Thrones ending, and Barack Obama calling Trump a “Dipsh*t”. It’s called “deep fake” and you’ve probably seen one or two of them already – a really popular one is a Tom Cruise deep fake. With the rise of AI, there is now a new tool available for people that want to make fake videos. And depending on your Photoshop skills, they were either really impressive or rubbish. You edited photos to look like something else. And during most of the 2000s and the 2010s, this was how fake stuff was made. But how do you make a deep fake video?īefore AI, we had Photoshop. Plenty of people believe they’re dangerous. Deep fake videos are becoming increasingly popular online. ![]()
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