{"id":2818,"date":"2022-12-30T17:25:14","date_gmt":"2022-12-30T17:25:14","guid":{"rendered":"https:\/\/salarydistribution.com\/machine-learning\/2022\/12\/30\/meet-the-omnivore-music-producer-remixes-the-holidays-with-newfound-passion-for-3d-content-creation\/"},"modified":"2022-12-30T17:25:14","modified_gmt":"2022-12-30T17:25:14","slug":"meet-the-omnivore-music-producer-remixes-the-holidays-with-newfound-passion-for-3d-content-creation","status":"publish","type":"post","link":"https:\/\/salarydistribution.com\/machine-learning\/2022\/12\/30\/meet-the-omnivore-music-producer-remixes-the-holidays-with-newfound-passion-for-3d-content-creation\/","title":{"rendered":"Meet the Omnivore: Music Producer Remixes the Holidays With Newfound Passion for 3D Content Creation"},"content":{"rendered":"
\n

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 accelerate their 3D workflows and create virtual worlds.<\/i><\/p>\n

\"\"
Stephen Tong<\/figcaption><\/figure>\n

Stephen Tong, aka Funky Boy, has always loved music and photography. He\u2019s now transferring the skills developed over the years as a music producer \u2014 shooting time lapses, creating audio tracks and more \u2014 to a new passion of his: 3D content creation.<\/p>\n

Tong began creating 3D renders and animations earlier this year, using the NVIDIA Omniverse<\/a> platform for building and connecting custom 3D pipelines.<\/p>\n

Within just a couple months of learning to use Omniverse, Tong created a music video with the platform. The video received honorable mention in the inaugural #MadeInMachinima<\/a> contest last March, which invited participants to remix popular characters from games like Squad<\/i><\/a>, Mount & Blade II: Bannerlord<\/i><\/a> and MechWarrior Mercenaries 5<\/i><\/a> using the Omniverse Machinima<\/a> app.<\/p>\n<\/p>\n

In September, Tong participated in the first-ever Omniverse developer contest<\/a>, which he considered the perfect way to learn about extending the platform<\/a> and coding with the popular Python programming language. He submitted three Omniverse extensions<\/a> \u2014 core building blocks that let anyone create and extend functions of Omniverse apps<\/a> \u2014 aimed at easing creative workflows like his own.<\/p>\n<\/p>\n

Ringing in the Season the Omniverse Way<\/b><\/h2>\n

The artist also took part in the #WinterArtChallenge<\/a> this month from NVIDIA Studio<\/a>, a creative community and platform of NVIDIA RTX<\/a> and AI-accelerated creator apps. Creatives from around the world shared winter-themed art on social media using the hashtag.<\/p>\n

Tong said his scene was inspired by cozy settings he often associates with the holidays.<\/p>\n

\"\"<\/p>\n

First, the artist used AI to generate a mood board. Once satisfied with the warm, cozy mood, he modeled a winter chalet \u2014 complete with a snowman, wreaths and sleigh \u2014 using the Marbles RTX<\/a> assets, free to use in the Omniverse Launcher, as well as some models from Sketchfab<\/a>.<\/p>\n

Tong collected the assets in Unreal Engine before rendering the 3D scene using the Omniverse Create<\/a> and Blender apps. The Universal Scene Description (USD)<\/a> framework allowed him to bring the work from these various applications together.<\/p>\n

\u201cUSD enables large scenes to be loaded fast and with ease,\u201d he said. \u201cThe system of layers makes Omniverse a powerful tool for collaboration and iterations.\u201d<\/p>\n

With his festive creativity on a roll, Tong also orchestrated an animated quartet lip-syncing to \u201cCarol of the Bells\u201d using Omniverse Audio2Face<\/a>, an AI app that quickly and easily generates expressive facial animations from just an audio source, as well as the DaVinci Resolve application for video editing.<\/p>\n

Watch to keep up the holiday spirit:<\/p>\n<\/p>\n

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

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

To hear the latest made possible by accelerated computing, AI and Omniverse, watch NVIDIA\u2019s special address at CES<\/a> on Tuesday, Jan. 3, at 8 a.m. PT.<\/p>\n

Check out more artwork from Tong and other \u201cOmnivores\u201d in the gallery<\/a>. Connect your workflows to Omniverse with software from Adobe, Autodesk, Epic Games, Maxon, Reallusion and more<\/a>.<\/p>\n

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

https:\/\/blogs.nvidia.com\/blog\/2022\/12\/30\/stephen-tong-omniverse-creator\/<\/p>\n","protected":false},"author":0,"featured_media":2819,"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\/2818"}],"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=2818"}],"version-history":[{"count":0,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts\/2818\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media\/2819"}],"wp:attachment":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media?parent=2818"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/categories?post=2818"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/tags?post=2818"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}