DeepMind & Ross Lovegrove Create AI-Generated Chair Design
DeepMind and designer Ross Lovegrove have collaborated to create a chair design using AI as a creative tool. The project, led by Lovegrove Studio, aimed to generate new ideas true to the designer's vision.
The team at DeepMind used Gemini and their generative image technology to build a model fine-tuned to translate Lovegrove's distinct design language. The process began with a human-led inquiry, determining the need to prioritize language alongside the visual dataset to guide the model's output.
Throughout the collaboration, Lovegrove Studio observed the model's responses to specific terms. They used this feedback to refine prompts and align outputs with their vision. The result was a chair design that the studio felt was an authentic extension of their work. This digital concept was then transformed into a physical prototype using metal 3D printing.
The project successfully used generative AI to complete a design challenge, from initial digital concept to final, physical product. The chair design was developed by Ross Lovegrove, Ila Colombo from Lovegrove Studio, DeepMind's generative technology, and the design firm Modem. It showcases AI's potential as a powerful collaborative tool for artists.
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