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Using AI to craft an artistic VR experience for the Royal Academy. The result: A fantastically detailed and authentic experience, allowing viewers to discover Yinka’s new artwork and explore a historic painting from a whole new angle. The experience fuses Yinka’s own work with his influences to create an entirely new art piece, demonstrating that technology is constantly offering artists new platforms to express themselves.
Yinka Shonibare with production house Happy Finish
Objective: Collaborate with renowned artist Yinka Shonibare MBE to produce an immersive VR experience for the Royal Academy’s From Life exhibition.
Background: Yinka’s recent influences had led him to craft The Townley Venus, a vibrantly-patterned sculpture based on a Classical piece of the same name. The original statue was excavated by Neoclassical artist Gavin Hamilton, who sold it to collector Charles Townley. This idea of taking what’s not yours is integral to Yinka’s work, echoing themes of colonialism in his other pieces – so we decided to use Hamilton’s famous painting ‘Venus Presenting Helen to Paris’ (1785) as the main basis for our collaboration in an ironic nod to Yinka’s creative inspiration.
Our approach: We wanted to allow the viewer to jump inside the painting whilst demonstrating how technology can be used as a new medium for artists. So we created an experience where the viewer is transported into the physical space of Hamilton’s painting with the freedom to walk up and inspect the characters, before moving to the courtyard to discover Yinka’s stunning Townley Venus in a fusion of old and new art.
We sculpted the environment and six highly detailed volumetric characters to create a 3D version of the painting, then set out the lighting to replicate the look and feel. To really bring the scene to life, we positioned atmospheric audio and used cross-fade camera techniques to allow the viewer to move through the experience without feeling dizzy.
The overall aesthetic needed to stay true to the original artwork to be believable for the viewer. So we applied pioneering ‘Style Transfer’ techniques based on Deep Learning Neural Networks to replicate Hamilton’s painting style and complete the unknown textures of the backs of the characters and elements of the environment.
Check out a walkthrough of the experience below!