Google's in-house 'neurographer' Mario Klingemann produces engaging abstract AI portraits through the use of connected generative adversarial neural networks (GANs). The initial GAN is "a painterly-looking low-resolution proto-image." The artist superimposes and upscales this base by another GAN until an acceptable presentation is achieved — one that has a high resolution and offers visual details and textures. Mario Klingemann is in control of the process and utilizes machine learning. The resulting AI portraits are hauntingly beautiful, offering a somewhat grotesque presentation of the human body from the point of view of a computer.
In 2018, Mario Klingemann's 'The Butcher's Son' — a nude AI portrait received "first global art prize for its kind at the 7th Annual Lumen Prize Awards Ceremony."
Key Themes Behind This Trend
- Generative Adversarial Neural Networks (GAN)
- Businesses can explore using GANs to produce engaging artworks with intricate algorithms like Mario Klingemann.
- AI Portraits
- The production of highly defined AI portraits allows businesses to provide unique offerings for the art market.
- Neurographer
- Companies can expand into neurographics to diversify their offerings and processes, like Google's Mario Klingemann.
Where This Applies
- Artificial Intelligence
- Enterprises in AI can adopt the use of algorithms to produce unique and stunning artwork like the AI portraits of Mario Klingemann.
- Art
- Art markets can explore the offering of AI portraits, like the art prize-winning 'The Butcher's Son' by Mario Klingemann.
- Technology
- Innovation in technology can create opportunities for neurographics and algorithm creations, like Google's Mario Klingemann is doing with AI portraits.
