The Beautiful Paintings from Damien Hirst that the boundaries between digital and physical art creation, using generative and machine learning algorithms. Marking the newest iteration of Hirst’s iconic ‘Spin Paintings’, known for their energetic splashes of colour, The Beautiful Paintings gives collectors the opportunity to choose their own combination of colours, styles, shapes, sizes, and mediums to generate unique artworks and titles.
Collectors have the option to generate the artwork either as a physical artwork, digital artwork, or both.
Damien Hirst worked closely with the HENI data science team for over a year to create a generative algorithm that digitally constructed artworks in 25 unique styles, developing and pushing the boundaries of what normal 'Spin Paintings' look like. The algorithm was written in p5.js, a JavaScript library, and stored on-chain. A variety of techniques including WEBGL shaders, Perlin noise and trigonometric functions were used to create paint layers that mirror the defined yet unpredictable motion of paint as it moves across a canvas.
Damien Hirst is a British artist whose name has become synonymous with contemporary art. Since his generative work as a student at Goldsmiths School of Art, Hirst's production has been boundary−redefining in nature. Working primarily in installation, painting, sculpture and drawing, Hirst explores the complex relationships between art, beauty, religion, science, life and death. He constantly returns to his foundational interests and themes, which he reworks to develop an innovative visual language.
