NVIDIA Research comprises more than 200 scientists around the world driving innovation across a range of industries. One of its central figures is David Luebke, who founded the team in 2006 and is now the company’s vice president of graphics research.
Luebke spoke with AI Podcast host Noah Kravitz about what he’s working on. He’s especially focused on the interaction between AI and graphics. Rather than viewing the two as conflicting endeavors, Luebke argues that AI and graphics go together “like peanut butter and jelly.”
NVIDIA Research proved that with StyleGAN2, the second iteration of the generative adversarial network StyleGAN. Trained on high-resolution images, StyleGAN2 takes numerical input and produces realistic portraits.
Creating images comparable to those generated in films — which could take up to weeks to create just a single frame — the first version of StyleGAN only takes 24 milliseconds to produce an image.
Luebke envisions the future of GANs as an even larger collaboration between AI and graphics. He predicts that GANs such as those used in StyleGAN will learn to produce the key elements of graphics: shapes, materials, illumination and even animation.
“Artificial intelligence, deep neural networks — that is the future of computer graphics” — David Luebke [2:34]
“[AI], like a renaissance artist, puzzled out the rules of perspective and rotation” — David Luebke [16:08]
Real-time graphics technology, namely, GPUs, sparked the modern AI boom. Now modern AI, driven by GPUs, is remaking graphics. This episode’s guest is Aaron Lefohn, senior director of real-time rendering research at NVIDIA. Aaron’s international team of scientists played a key role in founding the field of AI computer graphics.
Ever wondered what it takes to produce the complex imagery in films like Star Wars or Transformers? Here to explain the magic is Colie Wertz, a conceptual artist and modeler who works on film, television and video games. Wertz discusses his specialty of hard modeling, in which he produces digital models of objects with hard surfaces like vehicles, robots and computers.
DOOM, of course, is foundational to 3D gaming. 3D gaming, of course, is foundational to GPUs. GPUs, of course, are foundational to deep learning, which is, now, thanks to a team of Italian researchers, two of whom we’re bringing to you with this podcast, being used to make new levels for … DOOM.
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The post Perfect Pairing: NVIDIA’s David Luebke on the Intersection of AI and Graphics appeared first on The Official NVIDIA Blog.