The blogger revived cartoon characters using a neural network. Carlson will make you cry

The blogger revived cartoon characters using a neural network. Carlson will make you cry

Categories: Technology

Animators, drawing cartoon characters, do not try to make them as realistic as possible. Have you ever wondered how everyone's favorite characters might look like in real life? The author of the telegram channel Denis Sexy IT Denis Shiryaev spared no effort and time and with the help of digital graphics and a neural network showed the world of Soviet cartoon characters from an unusual side.

The blogger revived cartoon characters using a neural network. Carlson will make you cry

To solve the problem, Denis needed photoshop and a neural network of the neueral.love service. The blogger took the images of the characters from the Tomsk artist Yevgeny Shvenk, who in 2019 drew portraits of cartoon characters as realistically as possible with an ordinary pencil.

The blogger revived cartoon characters using a neural network. Carlson will make you cry

First, Denis Shiryaev transformed the well-known Dunno. He turned out to be quite a cute snub-nosed kid.

The blogger revived cartoon characters using a neural network. Carlson will make you cry

The next was Mowgli, who in life turned out to be a real handsome man, capable of breaking dozens of women's hearts.

The blogger revived cartoon characters using a neural network. Carlson will make you cry

Then it was the turn of the postman Pechkin from Prostokvashino. The mail worker turned out to be quite realistic, but somehow crazy.

The blogger revived cartoon characters using a neural network. Carlson will make you cry

However, the crazy look turned out to be typical for the heroes of "Vacation in Prostokvashin". Pay attention to Uncle Fyodor's dad. This guy would definitely make the right choice and not get married, but would live for his own pleasure with a cat.

The blogger revived cartoon characters using a neural network. Carlson will make you cry

The famous antihero from the series of cartoons about Cheburashka, the old woman Shapoklyak, does not cause sympathy. This elderly woman turned out to have the face of an avid lover of alcohol. The illustrator Andrey Tarusov made it much more attractive.

The blogger revived cartoon characters using a neural network. Carlson will make you cry

But Carlson surpassed everyone – he is like the illegitimate son of Zhdun from a popular meme. Although Yevgeny Shvenk provided "a man in the full prime of life" with a strong-willed chin, the neural network decided to ignore this detail.

The blogger revived cartoon characters using a neural network. Carlson will make you cry

In the hope of getting a more likeable hero, the blogger uploaded a portrait of Carlson a second time, but the result still disappointed expectations.

The blogger revived cartoon characters using a neural network. Carlson will make you cry

But the main character of the cartoon "Uncle Stepa-a policeman" turned out to be very realistic and friendly.

The blogger revived cartoon characters using a neural network. Carlson will make you cry

The experiment with the appearance of the Snow Queen can also be considered successful. She turned out to be a very beautiful woman, although a little unearthly. However, does this heroine have to look somehow different?

The blogger revived cartoon characters using a neural network. Carlson will make you cry

And now look at what Homer Simpson would look like in real life. After that, who will argue that our cartoons are the best in the world?

Keywords: Russian Federation | Technologies | Blogger | Cartoons | Neural networks | Soyuzmultfilm

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