Creators Tab Reference

Creators Working in Omniverse

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Digital Human
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Artist

Create and Collaborate in the Cloud

Watch GeForce RTX 3D creators collaboratively create an animated short with Omniverse Cloud, bringing in 3D assets from their favorite design and content creation tools such as Autodesk Maya, Adobe Substance Painter, Unreal Engine, and SideFX Houdini.

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Artist Credit: Jeremy Lightcap, Edward McEvenue, Rafi Nizam, Jae Solina, Pekka Varis, Shangyu Wang, Ashley Goldstein

Building a Multi-App City of Brass

NVIDIA Omniverse enables Sir Wade Neistadt, who works in a variety of apps, to create without bottlenecks. Pairing the Omniverse Platform with an NVIDIA RTX^™ A6000 running on NVIDIA Studio Drivers enables him to, as he states, ”put it all together, light it, render it, and have everything in context using RTX rendering—all without ever exporting the data to and from applications.”

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Blending a Marbles Masterpiece

Producing accurate, high quality renders at light speed is a necessity for conceptual artists who require quick ideation and iteration. Jeremy Lightcap, one of the #CreateWithMarbles winners, described working on a GeForce RTX 3080 between Omniverse Create and Blender with amazement, “I was able to render my sailor scene in four seconds... and the quality was so crisp.”

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Generating Singing Digital Humans

When creating a realistic Digital Human, NVIDIA Omniverse paired with a GeForce RTX 3090 running on NVIDIA Studio Drivers enables artists like Anderson Rohr to take raw voice data recordings and turn them into AI-generated lip sync animations. According to Anderson, “Audio2Face was beyond my expectations, the AI and the results were outstanding.”

Artists can take this one step further and bring their creations to life by retargeting lip sync animations for metahuman use within the Unreal Engine Omniverse Connector.

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Accelerating Art-ificial Intelligence

With NVIDIA Omniverse, Song Ting converted assets taken from the real world into a data set as training materials. For this specific piece, she generated a 3D rose model and visualized its growth in cyberworld with NVIDIA Kaolin and NVIDIA DIB-R models. Powered by NVIDIA RTX^™ A6000, the model training was dramatically accelerated and completed in just two weeks, saving a significant amount of time and allowing her to explore and express "real" and "unreal" subjects.

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