Rembrandts and Robots: Using Neural Networks to Explore Authorship in Painting.

摘要

Trained on the works of an artist under study and visually comparable works of other artists, convolutional neural networks can identify forgeries and provide attributions. They can also assign classification probabilities within a painting, revealing mixed authorship and identifying regions painted by different hands.