Volinga integrates disguise for the creation of 3D content based on AI

The integration of technology disguise with AI-based SaaS platform Volinga will allow filmmakers and virtual production specialists to generate 3D environments in a matter of minutes.

Users can now capture real-world 2D content with their phones, upload the material to Volinga's AI platform and, through the RenderStream bidirectional protocol, translating it into immersive virtual scenes that anyone on set can interact with.

This proposal will allow environments shot outdoors to be recreated using a virtual production volume. Users can simply upload their phone recordings through 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 run in real time with little optimization, reducing time-consuming pre-production work.

This seamless workflow uses NeRFs, a transformative AI technology that allows you to capture and render 3D scenes from 2D images. By offering a robust, easy-to-use process for 3D content generation, it overcomes common bottlenecks in VFX and virtual production workflows, such as extensive 3D asset creation and complex photogrammetry.

Volinga Suite's comprehensive pipeline also allows for the efficient and rapid creation of 3D environments with the full parallax effect, which is essential for dynamic perspectives and depth in a 3D environment. Thanks to this, cinematographers 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 to create 3D environments. This represents a huge change in virtual production capabilities.”

Fernando Rivas-Manzaneque, co-founder of Volinga, comments that "so far, more than 700 beta users have provided optimistic feedback, highlighting the significant reduction in time and budget needed to create photorealistic environments. For example, they could capture a scene on a cloudy day and load the NeRF into content engines like Unreal Engine."

"By providing native support for disguised 3D generative AI, we will facilitate the process of capturing, manipulating and visualizing 3D environments, bringing techniques previously exclusive to high-budget productions to mid- and low-budget productions. This will drive the adoption of creating digital twins and democratize virtual production for everyone," he adds.

Peter Kirkup, solutions director at disguise, notes that "to get started, download the disguise RenderStream plugin for Volinga, upload images or videos of a 3D environment to the Volinga.ai platform and convert them to a NeRF. This will be in the form of an NVOL file that can be rendered in both Unreal Engine and the disguise RenderStream software for use on virtual sets."

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