HighTech Culture | A collective for the applied arts of the future
質 GAN in the Design Office
2019, Berlin (DE)
AI machine learning technologies evolve in a fast pace. Generative Advasarial Network (GAN) images, which aren’t just visual representations of neural networks, are generative graphics. Using computer graphics and machine learnings, they can create real-looking visuals of non-existing objects. The invention was originally developed by Ian Goodfellow and later popularized by large tech companies. The science behind the machine learning methodology still develops rapidly, resulting in significant improvements each year.
GAN is ready to become part of the architect’s workflow.
The presented images are generated using NVIDIA’s GauGAN model, that turns simple stroke brushes into complex landscape visuals. Then the raw image is treated with simple colour correction. Single pre-photographed content is added to the collage to give the visual character, to let the GAN image stand out from its generated siblings.
The workflow will aid architects in communicating concepts in a reduced timespan, saving the effort to model landscape elements with traditional tools.