“Vincent,” a deep learning demonstration from Cambridge Consultants, builds on human input to create completed ‘works of art’
Product design and development firm Cambridge Consultants has developed “Vincent,” a breakthrough in machine learning that is capable of completing a drawing that has been started with a human sketch. Completed ‘works of art’ combine a users’ sketch with the digested sum of art since the renaissance, as if Van Gogh, Cézanne and Picasso were inside the machine, producing art to order.
To interact with Vincent, a user simply draws directly to a tablet. Vincent will interpret the different lines being drawn and pick up where the user left off – taking as much information as it’s given to build out the piece into a completed picture. Unlike typical machine learning approaches which simply use mathematics to generate approximations of art, Vincent is able to take the human input given and produce a relevant, finished artwork.
Vincent is the latest output from Cambridge Consultants’ Digital Greenhouse – a unique experimental environment where data scientists and engineers explore and develop cutting edge machine learning techniques.
To find out more about Vincent and Cambridge Consultants please visit:
Turning sketches into art with machine learning
Cambridge Video Production