disguise and Volinga Integrate for AI-Driven 3D Content Creation

disguise and Volinga Integrate for AI-Driven 3D Content Creation

disguise’s new integration with SaaS platform Volinga enables filmmakers and virtual production specialists to quickly generate 3D environments. Users can now capture real-world 2D content with their phones, upload the footage to Volinga’s AI Platform, and, through disguise’s RenderStream bi-directional protocol, translate it into immersive virtual scenes that anyone on set can interact with.

disguise and Volinga integrationUsers can upload their phone footage via the Volinga RenderStream plugin, and modify the weather or atmosphere of a scene—without having to recreate it in 3D from scratch. Scenes can easily be run in real-time with little optimization needed, cutting down on pre-production work.

This workflow uses NeRFs, an AI technology that enables the capture and representation of 3D scenes from 2D images. Offering a robust, user-friendly pipeline for 3D content generation, it overcomes common bottlenecks in VFX and virtual production workflows, such as extensive 3D asset creation and complex photogrammetry—according to the companies.

Volinga claims the Volinga Suite end-to-end pipeline is also the only solution that allows efficient, fast creation of 3D environments with the full parallax effect, which is essential for dynamic perspectives and depth in a 3D environment. Because of this, DPs can move the camera freely on a virtual production set, without any restrictions.

“With this new integration, disguise and Volinga users can easily create and navigate 3D environments for virtual production, dramatically reducing the time and effort required in creating 3D environments. This signifies a massive step-change in virtual production capabilities,” said Volinga co-founder Fernando Rivas-Manzaneque.

According to the companies, 700+ beta users have provided optimistic feedback, noting the significant reduction in time and budget needed to create photorealistic environments. For example, they could capture a scene on an overcast day, and load the NeRF into content engines like Unreal Engine.

“By providing native support for 3D generative AI in disguise, we will ease the process of capturing, manipulating, and visualizing 3D environments, bringing techniques previously exclusive to high-budget productions to mid and lower-budget productions,” said disguise solutions director Peter Kirkup. “This will drive the adoption of digital twin creation and democratize virtual production for all.”

To get started, users can download the disguise RenderStream plugin for Volinga, upload images or videos of a 3D environment to the Volinga.ai platform, and convert them into a NeRF. This will be in the form of an NVOL file that can be rendered in both Unreal Engine and disguise RenderStream software for use in virtual sets. Click here to download the plug-in.

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