This is an image of Joe Biden before Draggan and this is him after using Draggan. This was accomplished in less than 2 minutes. Don't believe me, check it out in the link below for yourself. Now you might be wondering, what is Draggan? Well, Draggan is a machine learning software developed by the Max Planck Institute for Informatics, MIT, University of Pennsylvania and Google. The GAN in Draggan stands for Generative Adversarial Networks, which is a machine learning framework for Generative AI. Its purpose is to create new data instances that resemble your training data. For example, GANs can create images that look like photographs of human faces, even though the faces do not belong to any real person. It allows you to precisely drag any part of a picture to exactly where you want it. As you can see in this video of a cute dog where we can add a red dot and a blue dot and a picture starts to realistically move to our desired destination. It consists of two main components, motion supervision and point tracking. Motion supervision guides the point you are moving towards the target position, giving you control over its movement. On the other hand, point tracking utilizes special features to track the point you are manipulating, helping it understand its location. So think twice if you are planning to buy a photoshop. Draggan is something worth paying attention to. Unfortunately, I can't provide a detail explanation of the inner workings as it's still a new development and the paper has recently been published. However, the GitHub repo of their code says that it will be released in June. Feel free to check out the paper I have given a link for it in the description. Although there isn't a devmo available for draggan at the moment, hopefully a working demo will be released soon. So stay tuned and subscribe to my channel if you found this video interesting. Thank you for watching.