It was involuntarily wanting! The artist recreates the characters of “Chaves” with the help of AI; watch

The Mexican series “Chaves” is considered one of the greatest hits in the entire history of world TV. Breaking records with audiences around the world and fever across the generations, one of its most striking characteristics is that of adult actors playing children ages eight to ten.

But, among the many “mysteries” surrounding the village gang, one thing fans have always wanted to know is: what would Quico, Chiquinha, Chaves and the other children in the series be like if the actors were children and not adults?

The cartoon “Chaves em Desenho Animado” tried to recreate the characters in their original forms, but even so it was not possible to see the actors as real children.

But now that doubt no longer exists, because an artist (name undisclosed) used artificial intelligence to get to know Quico, Chaves, Chiquinha, Nhonho and Paty as they would be if they were their age in the series. Take a look below:

The AI ​​has already recreated the characters

The characters in “Chaves” aren’t the first to go through AI. “Knights of the Zodiac”, “Game of Thrones”, “The Lord of the Rings” and “Mario Bros” also received new algorithms.

The technology works, in short, as follows: the user adds a simple textual description, with age, skin color, physique and other information about the character’s appearance. Then, the machine learning software processes the data and presents the final result.

with information from Fayer Wayer

Featured image: Advertising / Televisa

The post was unintentionally missing! The artist recreates the characters of “Chaves” with the help of AI; the control first appeared on Digital Look.

Source: Olhar Digital

Emily

Emily Jhon is a product and service reviewer at Gossipify, known for her honest evaluations and thorough analysis. With a background in marketing and consumer research, she offers valuable insights to readers. She has been writing for Gossipify for several years and has a degree in Marketing and Consumer Research from the University of Oxford.