Have you ever wondered what your sketch could look like if it was drawn by a skilled artist? If so, NVIDIA’s deep learning model, called GauGAN, does just that by transforming rough doodles into photorealistic masterpieces without any extra effort. It doesn’t need a supercomputer, but rather leverages generative adversarial networks, or GANs, to convert segmentation maps into lifelike images.
In the future, GauGAN could possibly offer powerful tools for creating virtual worlds in various fields, whether it be architects or landscape designers and game developers. This artificial intelligence system understands how the real world looks, thus enabling professionals to better prototype ideas and make rapid changes to a synthetic scene.
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This technology is not just stitching together pieces of other images, or cutting and pasting textures. It’s actually synthesizing new images, very similar to how an artist would draw something,” said Bryan Catanzaro, vice president of applied deep learning research at NVIDIA.
