Neural Networks Bring Famous Artists' Paintings to Life (16 photos)

Rarely does anyone, when looking at classical masterpieces, consider what the characters in the paintings would look like if they suddenly came to life and went for a coffee at the nearest coffee shop. But neural networks can easily "pull" the paintings' characters from museum walls. Let's see what they came up with.

Boris Kustodiev, "The Merchant's Wife Taking Tea"





Frederick Sandys, "Helen of Troy"



Pierre-Auguste Renoir, "Madame Léon" "Clapisson"

Vincent van Gogh, "Self-Portrait"



Pierre-Auguste Renoir, "Portrait of the Actress Jeanne Samary"



Johannes Vermeer, "Girl with a Pearl Earring"



Ivan Kramskoy, "Unknown Woman"



Valentin Serov, "Portrait of Maria Akimova"



Jan van Eyck, "Portrait of a Man in Red" Turban"



Raphael, "Lady with the Unicorn"



Gustav Klimt, "Portrait of Adele Bloch-Bauer I"



Gustave Courbet "Despair"



Karl Bryullov, "Portrait of M. A. Beck"



Valentin Serov, "Girl with Peaches"



Dante Gabriel Rossetti, "Lady "Lilith"



Ilya Repin, "Portrait of S.I. Menter"