FX.co ★ 4 paintings created by AI
4 paintings created by AI
Botto AI algorithm
An AI called Botto is an algorithm whose only destiny is to create. It plays an important role in the creation of innovative paintings. It develops unique works of art by using image generation. It has generous mentors among art lovers and Botto coin holders. They carry out operations with this token as well as influence the operation of the algorithm. The project managers determine the quality of Botto's works. They painstakingly monitor the whole creation process. The finished canvases are strictly selected. In a week, the Botto’s robot produces more than 2,000 artworks with only 350 being chosen. Only truly unique images are picked from the remaining 350.
Blind Man's Breakfast
The history of "The Blind Man's Breakfast", created in 2010, is quite unusual. One of the canvases of famous artist Pablo Picasso was illuminated with a special beam. As a result, experts found a second layer under the painting. However, 12 years ago, AI technology was poorly developed for recreating a full picture. Thanks to the rapid development of Al algorithms, Oxia Palus enthusiasts took up this task. More than 100 paintings created by Picasso were uploaded to the neural network. By means of digital processing, the lower layers of paint were separated from the "Blind Man's Breakfast" canvas. The Oxia Palus team managed to produce a potential painting. After that, they used an AI algorithm. The neural network finished the image, imitating the manner of the great painter. The final picture turned out to be close to the original. AI even copied the texture of the paint strokes. With the support of scientists and the MORF online gallery, the painting was displayed at the exhibition. However, the heirs of Pablo Picasso were outraged. They demanded to cancel the presentation due to copyright infringement.
Mount McCowen
Google was ahead of the curve in advanced technologies related to AI art. Earlier, the corporation explored the possibilities of artificial neural networks designed for image recognition and description. Google developers tried to identify patterns in the work of AI algorithms. AI was programmed to create images based on certain requests. The results of the network in the field of interpretation of the surrounding world greatly surprised experts. In the report "Inсeptionism: Going deep into Neural Networks", the Google research group analyzed the work of artificial neural networks. The main focus was on the software designed for image recognition. The obtained data was of great use to developers. The Google team tried to "train" the network by showing it images of mountain ranges, connecting them with the word mountains. The result of this work was an unusual canvas "Mount McCowen" made by the AI algorithm.
Jorogumo
Mike Tyka is a Google engineer who popularises neural networks as an artistic medium. He is the co-creator of the painting "Jorogumo", made by an AI algorithm in 2016. Mike Tyka was the man behind some of the first large-scale art pieces generated by the neural network. Currently, the painting "Jorogumo'' is in a private collection. It catches the eye with the unusual multicolored arthropods resembling spiders or crabs. The painting mesmerizes viewers with bright colors, unique characters, and skillfully constructed composition.
Portrait of Edmond Belamy
Many connoisseurs consider the "Portrait of Edmond Belamy", skillfully created by a neural network, a masterpiece of AI art. In 2018, it was sold at Christie's for $432,500, proving its worth to those who turned their noses up at computer-generated art. The initial price ranged from $7,000 to $10,000. The painting was created by a Paris-based art collective called Obvious with Pierre Fautrel at the lead. Programmers Pierre Fautrel, Hugo Casel-Dupre, and Gauthier Vernier got interested in experimental art and machine learning in 2017. Vernier stressed that they discovered the impressive potential of the new art direction. The artwork was produced using an algorithm and a data set of 15,000 portraits painted in different centuries. To generate the image, the algorithm compared its own work to those in the data set. The algorithm managed to create many original art pieces. Vernier believes that neural networks are able to compete with the works of renowned artists.