Stroke of Genius: NVIDIA Researchers Debut GauGAN at GTC 2019

Joanna Estrada
March 21, 2019

What separates GauGAN from other rendering software, beyond its seemingly simple interface and application, is just how the tool was developed. These parts transform the blue line you drew for a waterfall, into an actually detailed, photorealistic waterfall.

Since neural networks generate creations based on the set of images they have been trained on, will the creative role of architects soon be diminished to curating the "styles" of these sets in the hope of somewhat influencing the machine's output?

Artificial intelligence systems rely on neural networks, which try to simulate the way the brain works in order to learn. A visa is a suggested list of thumbnails, which will be the target GauGAN.

Nvidia has released a demo of a sketch-to-landscape tool based on generative adversarial networks (GANs) - accelerated, naturally, by the company's graphics processing products.

Nvidia is now on a heavy push to promote the use of artificial intelligence in a variety of fields.

You can hang onto your brushes, still, but that doesn't mean you shouldn't take a look at NVidia's GauGAN AI.

GauGAN is supposedly a multimodal system, meaning that if two users produce the same sketch with the exact setting, it will ensure that the software creates different results with the random numbers built into the projects.

The company revealed that this program can blend hundreds of thousands of objects and their connection to other objects in the real world. If GauGAN to change the season from summer to autumn, the leaves disappear from branches, or if the tree is a pond, a tree will be reflected in the water. Nvidia demonstrated this software on the platform of the GPU RDX Titan, which allowed him to obtain results in real time.

In the video, Bryan Catanzaro, vice president of applied deep learning research at Nvidia, says "Wouldn't it be great if anyone could be an artist - if we could take our ideas and turn them into compelling images?" - as if the tech alone could replace artistic talent and a knowledge of expression, composition and lighting.

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