Turn 2D Images into Immersive 3D Scenes with NVIDIA Instant NeRF in VR

Preparing content for 3-D VR and more.  

Turn 2D Images into Immersive 3D Scenes with NVIDIA Instant NeRF in VR   By Thomas Müller

Tags: Image Processing, NeRF, News, NVIDIA Research

Thousands of developers and content creators have built stunning 3D visuals with NVIDIA Instant NeRF, a rendering tool that turns a set of static images into a realistic 3D scene. Now, it is also possible to navigate Instant NeRF in VR and step into 3D creations with the latest Instant NeRF software update.

Named by TIME Magazine as a top invention of 2022, Instant NeRF provides a glimpse into the future of photography, 3D graphics, and virtual worlds.

With Instant NeRF in VR, users can rapidly create virtual scenes using 2D images. Using advanced rendering techniques including foveation, dynamic scaling, NVIDIA DLSS, and, optionally, a second GPU, creators achieve desired frame rates and resolution targets across a wide range of budgets.

Create and share immersive virtual scenes

Traditionally, creating 3D and virtual scenes is a time-consuming, costly process requiring specialized equipment and expertise. But Instant NeRF enables users to create scenes in minutes with just a few 2D photos. The tool processes static images into rendered 3D scenes using an AI-based technology called neural radiance fields (NeRF).

Since Instant NeRF was released last year, developers and content creators around the world have downloaded the source code to create striking and realistic 3D scenes.

Now with the addition of VR, users can render these scenes from static images and virtually step inside the environment, moving freely inside the 3D space. Creators can use almost any image—whether from the real world or rendered—as source content. NeRFs can be created using images and video captured on smartphones, or rendered images and screenshots captured from games, design applications, and more. 

Instant NeRF in VR comes with the capability to clean up scenes easily in VR, making the creation of high-quality NeRF more intuitive than ever before. With precompiled executables now available, the creation of your own NeRF has become accessible to even more people.  ... '