Neuralangelo — NVIDIA’s Research for 3D Reconstruction Using Neural Networks

ODSC - Open Data Science
2 min readJun 30, 2023

NVIDIA Research has introduced Neuralangelo, an advanced AI model that utilizes neural networks for 3D reconstruction. According to NVIDIA, the program has the power to convert ordinary 2D video clips into highly detailed and realistic 3D structures.

Neuralangelo also has the ability to generate lifelike virtual replicas of buildings, sculptures, and other real-world objects. In theory, it opens up new avenues for creative professionals in various industries.

With the famous painter Michelangelo in mind, this program uses the power of neural networks to create intricate 3D structures by capturing the intricate details and textures of complex materials, including roof shingles, glass panes, and smooth marble, surpassing previous methods of 3D reconstruction by leveraging footage captured by everyday smartphones.

One of Neuralangelo’s features is its ability to import highly detailed 3D objects into design applications. This allows designers can create immersive virtual environments and integrate virtual replicas of real-world objects with fewer steps than traditional methods.

What makes Neuralangelo interesting is how in the past, prior AI models had issues in accurately capturing repetitive texture patterns, homogenous colors, and strong color variations. But what makes NVIDA’s Neuralangelo different is how it can leverage instant neural graphics primitives, which are built on the technology behind NVIDIA Instant NeRF.

The way it works is Neuralangelo will analyze a 2D video from multiple angles. Then the model selects frames that provide different viewpoints, mimicking an artist’s approach to capturing depth, size, and shape. The AI then creates a rough 3D representation of the scene and refines it to enhance the intricate details, resulting in a lifelike 3D object or large-scale scene.

As you can imagine, Neuralangelo’s potential extends far beyond mere 3D reconstruction. For example, what it can produce can be seamlessly integrated into virtual reality applications, digital twins, and robotics development.

With its ability to bridge the gap between the real world and the digital world, Neuralangelo helps developers to create realistic virtual environments and facilitates. They will be able to do this by easily importing their own footage to create highly detailed 3D reconstructions, regardless of their size into various projects.

Below, you can watch NVIDA’s demo:

Originally posted on OpenDataScience.com

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