“It’s much easier to brainstorm designs with simple sketches, and this technology is able to convert sketches into highly realistic images,” said Bryan Catanzaro, vice president of applied deep learning research at NVIDIA. With an AI that understands how the real world looks, these professionals could better prototype ideas and make rapid changes to a synthetic scene. GauGAN could offer a powerful tool for creating virtual worlds to everyone from architects and urban planners to landscape designers and game developers. (Photo from Wikimedia Commons, licensed under public domain). Post-Impressionist Paul Gauguin painted several self-portraits, including this 1885 work housed at the Kimbell Art Museum. The interactive app using the model, in a lighthearted nod to the post-Impressionist painter, has been christened GauGAN. The tool leverages generative adversarial networks, or GANs, to convert segmentation maps into lifelike images.
A novice painter might set brush to canvas aiming to create a stunning sunset landscape - craggy, snow-covered peaks reflected in a glassy lake - only to end up with something that looks more like a multi-colored inkblot.īut a deep learning model developed by NVIDIA Research can do just the opposite: it turns rough doodles into photorealistic masterpieces with breathtaking ease.
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