 Dear Fellow Scholars, this is two-minute papers with Karojol Naifahir. Earlier, we talked about an amazing technique where the inputs were a source video of ourselves and a target actor. And the output was a reenactment, in other words, a video of this target actor with our facial gestures. This requires only a few minutes of video from the target, which is usually already available on the internet. Essentially, we can impersonate other people, at least for one video. A key part of this new technique is that it extracts additional data, such as polls and eye positions, both from the source and target videos, and uses this data for the reconstruction. As opposed to the original face-to-face technique from two years ago, which was already mind-blowing, you see here that this results in a new learning-based method that supports the reenactment of eyebrows and blinking, changing the background, plus head and gaze positioning as well. So far, this would still be similar to a non-learning-based technique we've seen a few episodes ago. And now, hold onto your papers, because this algorithm enables us to not only impersonate, but also control the characters in the output video. The results are truly mesmerizing. I almost fell out of the chair when I first seen them. And what's more, we can create really rich reenactments by editing the expressions, polls, and blinking separately by hand. What also needs to be emphasized here is that we see and talk to other human beings all the time, so we have a remarkably key eye for these kinds of gestures. If something is off just by a few millimeters, or is not animated in a way that is close to perfect, the illusion immediately falls apart. And the magical thing about these techniques is that every single iteration, we get something that is way beyond the capabilities of the previous methods, and they come in quick succession. There are plenty of more comparisons in the paper as well, so make sure to have a look. It also contains a great idea that opens up the possibility of creating quantitative evaluations against ground truth footage. Turns out that we can have such a thing as ground truth footage. I wonder when we will see the first movie with this kind of reenactment of an actor who passed away. Do you have some other cool applications in mind? Let me know in the comments section. And if you enjoy this episode, make sure to pick up some cool perks on our Patreon page where you can manage your paper addiction by getting early access to these episodes and more. We also support crypto currencies. The addresses are available in the video description. Thanks for watching and for your generous support, and I'll see you next time.