The neural network "mixed" the actors who played the same characters to get the perfect image (14 photos)

There are a huge number of famous movie characters who are already managed to play a lot of talented actors. For example, Sherlock Holmes, James Bond, Joker and so on. Each actor portrayed his hero in his own way, and therefore among the audience there are often disputes: who of them played cooler and most of all got into the image. Find a compromise solution tried by neural networks. Why choose from multiple actors if can they be mixed like a cocktail? As a result, they turned out to be very interesting. mixtures.

Hannibal Lecter (Anthony Hopkins and Mads Mikkelsen)





Joker (Heath Ledger and Joaquin Phoenix)



Lara Croft (Angelina Jolie and Alicia Vikander)



Cruella (Glenn Close and Emma Stone)



Sherlock Holmes (Benedict Cumberbatch and Robert Downey Jr.)



James Bond (Sean Connery and Daniel Craig)



Hercule Poirot (David Suchet and Kenneth Branagh)



Batman (Christian Bale and Robert Pattinson)



Cleopatra (Vivien Leigh and Monica Bellucci)



Conan the Barbarian (Arnold Schwarzenegger and Jason Momoa)



Anna Karenina (Vivien Leigh and Keira Knightley)



Heathcliff (Timothy Dalton and Ralph Fiennes)



Evil Queen (Julia Roberts and Charlize Theron)



King Arthur (Clive Owen and Charlie Hunnam)