, who is this yoshkin’s cat, it’s okay, it’s some kind of guy, you know how pardinsky sees us like thatromta in my head, you look exactly like that, and i’ll actually tell you how - we get photorealistic... portraits, we have a team that deals with detecting fakes, you know, now this is especially relevant, a pressing problem, well, with the development of generative models, you can generally make a bunch of fakes and post them on the internet, and this can bring huge losses to companies and states and all sorts of reputational costs, that is, you need to learn to distinguish what is created by a neural network, what no, actually, as part of fake detection, we decided to make a model that generates fakes, why, then, so that on that dataset, which... has already helped the fake detection model, it simply transfers the face, that is, this is the real you, in in principle, it is, yes, dear friends, denis, dimitrov, our guest in the creative industry podcast on channel one is the man who created the kandinsky neural network of a wonderful team, and the main conclusion, even if we are not qu

the shit, that we’re standing there, i’ll go take a look, nikolaev, and this is from that basement, yoshkin let's drink, let's drink, levchenko, okay, in general, i'll tell you, even though your head hurts, you are an absolutely superfluous person in life, unadapted. the most adapted organisms, comrade major, are unicellular organisms, ciliates, who are you talking to, you are a lieutenant colonel of the red army, and ciliates have no rank, only under detachments, who are you talking about, you wanted to go to court, what did you call me, ciliates, yes, that’s what he said, lieutenant colonel, it’s him, he didn’t mean you, he’s a joker, a philosopher, you’re the same, so what? in general, levchenko, tell me how you didn’t... you ended up in germany, did you run away yourself or someone helped, in general, i want to warn you that in germany there is not a single russian woman to call her in everything, but you should call their elder, subtribunalau! let there be freedom, shura, i can’t even believe it, but i, uncle, my stomach hurts, and you girls, little ones, let’s leave him to run, freedo

our models and here lena wondered what we could look like, we just have a question about this, oh, yoshkin, who is this, well, nothing. oh this is so kind of oh and you know how pardinskiy he is, that’s how he sees us, yeah wow, he’s made us look so young, look, he’s giving compliments and hallucinating, and i see you like in my head, you look exactly like this too, and i’ll actually tell you how photorealistic portraits are made . we have a team that deals with detecting fakes. you know, now this is a particularly pressing problem, well, with the development of generative models , you can generally make a bunch of fakes and display them in on the internet, and this can bring huge losses to both companies and states and all sorts of reputational costs, that is, we must learn to distinguish between what is created by a neural network and what is not, so we are actually within the limits of to detect fakes, they decided to make a model that generates fakes, why? then, in order to complete the detection model on the detailed network that the generative model for creating fakes generates. so,

this is my first time on such a roof, crazy beauty, i like it, very much, you’re not cold, yes, yoshkin’s the plan for repainting the walls, this will have to wait, because the budget the next year has been formed, and i’m coming to you on a completely different issue. at our headquarters we are holding a competition for the best employee, it’s called police beauty. what do you need from us? you need your best employee, one who can run, jump, shoot, master hand-to-hand combat, and who can sing, dance, be beautiful and smart. i understand, but i still don’t know them well. sergey igorevich, she’s the only one you have. senior lieutenant potapenko, that’s it, guessed it, well done, sit down, maybe don’t let me go...

then lena started thinking about what we could look like, that’s exactly what we have about, oh, yoshkiniments, yes, he hallucinates, and i see you, in the form of prom in my head, you look exactly like that too, and i’ll actually tell you how photorealistic portraits are made, we have a team that deals with detecting fakes, you know, now this is especially important, an urgent problem, well, with the development of generative models in general you can do a lot of fake stuff. and expose it on the internet, and this can bring huge losses to both companies and states, and all sorts of reputational costs, that is, you need to learn to distinguish what is created by a neural network, what is not, so we actually, as part of detecting fakes, decided to make a model that generates fakes , for what? then, in order to complete the detection model on the dataset that generates the generative model for creating fakes, we, as if within the framework of this work on detecting fakes, made a model for generating fakes and applied it. her here, that is, how does kanzinski, as a model, create your face?

she saw... then she started thinking, lena, what we could look like, we have just about this, oh, yoshkinh, you know, how he sees us like this kondinsky, yeah, wow, wow, why did he make us look so young, you look, he gives compliments, but he hallucinates, and i, you see, in the form of prom in my head, you look exactly like that, then... and i ’ll actually tell you how photorealistic portraits are obtained, we have a team, which is engaged in detecting fakes, you know, now this is a particularly pressing problem, well, with the development of generative models, in general, you can make a bunch of fakes and post them on the internet, and this can bring huge losses to both companies and states, and all sorts of reputational costs, that is, it is necessary study to distinguish what is created by a neural network and what is not, so we actually, as part of detecting fakes, decided to make a model that... generates fakes, why? then, in order to complete the detection model on the dataset that generates the generative model for creating fakes, we, as if within the framework of this work on fak

our models and here lena wondered what we could look like, we just have a question about this, oh, yoshkininsky sees us like that, yes, uh-huh, wow, why did he make us look so young, look, he’s giving compliments , but he’s hallucinating, and i you, you see, in the form of prom in my head, you look exactly like that too, and i’ll actually tell you how - we get photorealistic portraits, we have a team that deals with detecting fakes, you know, it’s especially relevant now, the actual problem is that with the development of generative models, you can generally make a bunch of fakes and display on the internet, and this can bring huge losses to both companies and states and all sorts of reputational costs, that is, you need to learn to distinguish what is created on a neural network, what is not, so we actually, as part of detecting fakes, decided to make a model that generates fakes, why, then, on the dataset that generates the generative model for creating fakes, to complete the detection model and so, as if, as part of this work on detecting fakes, we made a model for generating fakes and

our models, lena was thinking about what we could look like, we just have something about this, oh, yoshkine made, we have the team that does the detection. display on the internet, and this can bring huge losses to both companies and states, and all sorts of reputational costs, that is, you need to learn to distinguish what is created by a neural network, what is not, so we actually, as part of detecting fakes, decided to make a model that generates fakes, why, then, so that on the dataset that the generative model of creation generates. fakes, complete the detection model, and so, as part of this work, we did work on detecting fakes fake generation model and applied it here, that is, how does the kandinsky model create your face? first there is a model that describes you, then kandinsky creates your image with a tiger, for example, you can type in anything, there at the sea, there i don’t know, in winter, on skiing, and then the model for generating fakes, this is ours, which helped the fake detection model, it simply transfers the face. that is, this is the real you, in principle, that’s