{"id":3049,"date":"2023-06-27T16:17:26","date_gmt":"2023-06-27T16:17:26","guid":{"rendered":"https:\/\/salarydistribution.com\/machine-learning\/2023\/06\/27\/meet-the-omnivore-startup-develops-app-letting-users-turn-objects-into-3d-models-with-just-a-smartphone\/"},"modified":"2023-06-27T16:17:26","modified_gmt":"2023-06-27T16:17:26","slug":"meet-the-omnivore-startup-develops-app-letting-users-turn-objects-into-3d-models-with-just-a-smartphone","status":"publish","type":"post","link":"https:\/\/salarydistribution.com\/machine-learning\/2023\/06\/27\/meet-the-omnivore-startup-develops-app-letting-users-turn-objects-into-3d-models-with-just-a-smartphone\/","title":{"rendered":"Meet the Omnivore: Startup Develops App Letting Users Turn Objects Into 3D Models With Just a Smartphone"},"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 accelerate 3D workflows and create virtual worlds using <\/i>NVIDIA Omniverse<\/i><\/a>, a development platform built on Universal Scene Description, aka OpenUSD.<\/i><\/p>\n

As augmented reality (AR)<\/a> becomes more prominent and accessible across the globe, Kiryl Sidarchuk is helping to erase the border between the real and virtual worlds.<\/p>\n

\"\"
Kiryl Sidarchuk<\/figcaption><\/figure>\n

Co-founder and CEO of AR-Generation, which is a member of the NVIDIA Inception<\/a> program for cutting-edge startups, Sidarchuk with his company developed MagiScan, an AI-based 3D scanner app.<\/p>\n

It lets users capture any object with their smartphone camera and quickly creates a high-quality, detailed 3D model of it for use in any AR or metaverse<\/a> application.<\/p>\n

AR-Generation now offers an extension that enables direct export of 3D models from MagiScan to NVIDIA Omniverse<\/a>, a development platform for connecting and building 3D tools and metaverse applications.<\/p>\n

It\u2019s made possible with speed and ease by Universal Scene Description<\/a>, aka OpenUSD, an extensible framework that serves as a common language between digital content-creation tools.<\/p>\n

\u201cAugmented reality will become an integral part of everyday life,\u201d said Sidarchuk, who\u2019s based in Nicosia, Cyprus. \u201cWe customized our app to allow export of 3D models based on real-world objects directly to Omniverse, enabling users to showcase the models in AR and integrate them into any metaverse or game.\u201d<\/p>\n<\/p>\n

Omniverse extensions<\/a> are core building blocks that let anyone create and extend functions of Omniverse apps<\/a> using the popular Python or C++ programming languages.<\/p>\n

It was simple and convenient for AR-Generation to build the extension, Sidarchuk said, thanks to easily accessible documentation<\/a>, as well as technical guidance from NVIDIA teams, free AWS credits and networking opportunities with other AI-driven companies \u2014 all benefits of being a part of NVIDIA Inception.<\/p>\n

Capture, Click and Create 3D Models From Real-World Objects\u00a0<\/b><\/h2>\n

Sidarchuk estimates that MagiScan can create 3D models from objects 10x faster and at up to 100x less cost than it would take a designer to do so manually.<\/p>\n

This frees creators up to focus on fine-tuning their work and makes AR more accessible to all through a simple app.<\/p>\n

AR-Generation chose to build an extension for Omniverse because the platform \u201cprovides a convenient environment that integrates all the tools for working with 3D and generative AI<\/a>,\u201d said Sidarchuk. \u201cPlus, we can collaborate and exchange ideas with colleagues in real time.\u201d<\/p>\n

\"\"
Export 3D models from MagiScan to Omniverse with OpenUSD.<\/figcaption><\/figure>\n

Sidarchuk\u2019s favorite feature of Omniverse is its OpenUSD compatibility, which enables seamless interchange of 3D data between creative applications. \u201cOpenUSD is the format of the future,\u201d he said.<\/p>\n

Based on this framework, the MagiScan extension for Omniverse enables fast, affordable creation of high-quality 3D models for any object. MagiScan is available for download on iOS and Android devices<\/a>.<\/p>\n

\u201cIt can help everyone from individuals to large corporations save time and money in digitalization,\u201d said Sidarchuk, who claims his first word as a toddler was \u201cmoney.\u201d<\/p>\n

The business-oriented developer started his first company at age 16. It was a one-man endeavor, buying fresh fruits and vegetables from a small village and selling them in Minsk, the capital of Belarus. \u201cThat\u2019s how I earned enough to buy my first car,\u201d he mused.<\/p>\n

More than a dozen years later, when he\u2019s not working to \u201cenhance human capabilities through augmented-reality technologies,\u201d he said, Sidarchuk now spends his free time with his five-year-old daughter, Aurora.<\/p>\n

Watch Sidarchuk discuss 3D modeling, AI and AR on a replay of his Omniverse livestream on demand<\/a>, and learn more about the MagiScan extension for Omniverse<\/a>.<\/p>\n<\/p>\n

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

Anyone can build their own Omniverse extension or Connector<\/a> to enhance their 3D workflows and tools. 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

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

Get started with NVIDIA Omniverse by downloading the standard license <\/i>free<\/i><\/a>, or learn how <\/i>Omniverse Enterprise<\/i> can connect your team<\/i><\/a>. Developers can <\/i>get started with Omniverse<\/i><\/a> resources and learn about <\/i>OpenUSD<\/i><\/a>. Explore the <\/i>growing ecosystem of 3D tools<\/i><\/a> connected to Omniverse.<\/i><\/p>\n

Stay up to date on the platform by subscribing to the <\/i>newsletter<\/i><\/a>, and follow NVIDIA Omniverse on <\/i>Instagram<\/i><\/a>, <\/i>Medium<\/i><\/a> and <\/i>Twitter<\/i><\/a>. For more, join the <\/i>Omniverse community<\/i><\/a> and check out the Omniverse <\/i>forums<\/i><\/a>, <\/i>Discord server<\/i><\/a>, <\/i>Twitch<\/i><\/a> and <\/i>YouTube<\/i><\/a> channels.\u00a0<\/i><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

https:\/\/blogs.nvidia.com\/blog\/2023\/06\/27\/magiscan-app-augmented-reality-openusd\/<\/p>\n","protected":false},"author":0,"featured_media":3050,"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\/3049"}],"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=3049"}],"version-history":[{"count":0,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts\/3049\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media\/3050"}],"wp:attachment":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media?parent=3049"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/categories?post=3049"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/tags?post=3049"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}