{"id":2087,"date":"2022-05-02T15:39:16","date_gmt":"2022-05-02T15:39:16","guid":{"rendered":"https:\/\/salarydistribution.com\/machine-learning\/2022\/05\/02\/meet-the-omnivore-3d-artist-creates-towering-work-with-nvidia-omniverse\/"},"modified":"2022-05-02T15:39:16","modified_gmt":"2022-05-02T15:39:16","slug":"meet-the-omnivore-3d-artist-creates-towering-work-with-nvidia-omniverse","status":"publish","type":"post","link":"https:\/\/salarydistribution.com\/machine-learning\/2022\/05\/02\/meet-the-omnivore-3d-artist-creates-towering-work-with-nvidia-omniverse\/","title":{"rendered":"Meet the Omnivore: 3D Artist Creates Towering Work With NVIDIA Omniverse"},"content":{"rendered":"
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Editor\u2019s note: This post is a part of our <\/i>Meet the Omnivore<\/i><\/a> series, which features individual creators and developers who use <\/i>NVIDIA Omniverse<\/i><\/a> to <\/i>accelerate their 3D workflows and create virtual worlds.<\/i><\/p>\n

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Edward McEvenue<\/figcaption><\/figure>\n

Edward McEvenue grew up making claymations in LEGO towns. Now, he\u2019s creating photorealistic animations in virtual cities, drawing on more than a decade of experience in the motion graphics industry.<\/p>\n

The Toronto-based 3D artist learned about NVIDIA Omniverse<\/a>, a 3D design collaboration and world simulation platform, a few months ago on social media. Within weeks he was using it to build virtual cities.<\/p>\n

McEvenue used the Omniverse Create<\/a> app to make a 3D representation of New York City, composed of 32 million polygons:<\/p>\n<\/p>\n

And for the following scene, he animated a high-rise building with fracture-and-reveal visual effects:<\/p>\n<\/p>\n

Light reflects off the building\u2019s glass windows photorealistically, and vehicles whiz by in a physically accurate way \u2014 thanks to ray tracing<\/a> and path tracing<\/a> enabled by RTX technology, as well as Omniverse\u2019s physics-based simulation capabilities.<\/p>\n

McEvenue\u2019s artistic process incorporates many third-party applications, including Autodesk 3ds Max for modeling and animation; Epic Games Unreal Engine for scene layout; tyFlow for visual effects and particle simulations; Redshift and V-Ray for rendering; and Adobe After Effects for post-production compositing.<\/p>\n

All of these tools can be connected seamlessly in Omniverse, which is built on Pixar\u2019s Universal Scene Description<\/a>, an easily extensible, open-source 3D scene description and file format.<\/p>\n

Real-Time Rendering and Multi-App Workflows<\/b><\/h2>\n

EDSTUDIOS<\/a>, McEvenue\u2019s freelance company, creates 3D animations and motion graphics for films, advertisements and other visual projects.<\/p>\n

He says Omniverse helps shave a week off his average delivery time for projects, since it eliminates the need to send animations to a separate render farm, and allows him to bring in assets from his favorite design applications.<\/p>\n

\u201cIt\u2019s a huge relief to finally feel like rendering isn\u2019t a bottleneck for creativity anymore,\u201d McEvenue said. \u201cWith Omniverse\u2019s real-time rendering capabilities, you get instant feedback, which is incredibly freeing for the artistic process as it allows creators to focus time and energy into making their designs rather than facing long waits for the beautiful images to display.\u201d<\/p>\n

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A virtual representation of the ancient sculpture \u2018Laoco\u00f6n and His Sons\u2019 \u2014 made by McEvenue with Autodesk 3ds Max, Unreal Engine 5 and Omniverse Create.<\/figcaption><\/figure>\n

McEvenue says he can output more visuals on one computer running Omniverse faster than he previously could with nine. He uses an NVIDIA RTX 3080 Ti GPU<\/a> and NVIDIA Studio Drivers<\/a> to accelerate his workflow.<\/p>\n

In addition to freelance projects, McEvenue has worked on commercial campaigns across Canada, the U.S. and Uganda as a co-founder of the film production company DAY JOB.<\/p>\n

\u201cOmniverse takes away a lot of the friction in dealing with exporting formats, recreating shaders or linking materials,\u201d McEvenue said. \u201cAnd it\u2019s very intuitively designed, so it\u2019s incredibly easy to get up and running.\u201d<\/p>\n

Watch a Twitch stream replay<\/a> that dives deeper into McEvenue\u2019s workflow, as well as highlights the launch of the Unreal Engine 5 Omniverse Connector<\/a>.<\/p>\n

Join in on the Creation<\/b><\/h2>\n

Creators across the world can download NVIDIA Omniverse for free<\/a>, and enterprise teams<\/a> can use the platform for their 3D projects.<\/p>\n

Join the #MadeInMachinima contest<\/a>, running through June 27, for a chance to win the latest NVIDIA Studio<\/a> laptop.<\/p>\n

Learn more about Omniverse by watching GTC sessions on demand<\/a> \u2014 featuring visionaries from the Omniverse team, Adobe, Autodesk, Bentley Systems, Epic Games, Pixar, Unity, Walt Disney Studios and more.<\/p>\n

Connect your workflows to Omniverse with software from Adobe, Autodesk, Epic Games, Maxon, Reallusion and more<\/a>.<\/p>\n

Follow<\/i> Omniverse on <\/i>Instagram<\/i><\/a>, <\/i>Twitter<\/i><\/a>, <\/i>YouTube<\/i><\/a> and <\/i>Medium<\/i><\/a> for additional resources and inspiration. Check out the Omniverse <\/i>forums<\/i><\/a> and join our <\/i>Discord Server<\/i><\/a> to chat with the community.<\/i><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

https:\/\/blogs.nvidia.com\/blog\/2022\/05\/02\/edward-mcevenue-omniverse-creator\/<\/p>\n","protected":false},"author":0,"featured_media":2088,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[3],"tags":[],"_links":{"self":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts\/2087"}],"collection":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/comments?post=2087"}],"version-history":[{"count":0,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts\/2087\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media\/2088"}],"wp:attachment":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media?parent=2087"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/categories?post=2087"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/tags?post=2087"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}