3D reconstruction 2023-06-01
Neuralangelo by Nvidia icon

Neuralangelo by Nvidia

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3D models from 2D videos for diverse industries.
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Neuralangelo is an AI model created by NVIDIA Research for 3D reconstruction using neural networks. This new tool can transform 2D video clips into detailed 3D structures, generating virtual replicas of various real-world objects, such as buildings, sculptures, and more.

The generated 3D objects have intricate details and textures, and creative professionals can import them into design applications to further edit them for use in a wide range of industries, from video game development to industrial digital twins.

Neuralangelo's ability to translate textures of complex materials, including roof shingles, panes of glass, and smooth marble, from 2D videos to 3D assets surpasses previous methods.The model's high fidelity simplifies the task of rapidly creating usable virtual objects for projects using footage captured by smartphones.

Neuralangelo enables developers to import highly detailed objects, from small statues to massive buildings, into virtual environments for video games or industrial digital twins, helping recreate the real world in the digital world.Neuralangelo uses instant neural graphics primitives, the same technology behind NVIDIA Instant NeRF, to capture finer details such as repetitive texture patterns, homogenous colors, and strong color variations.

The model selects several frames from a 2D video, captured from different viewpoints, to create a rough 3D representation of the scene, then optimizes it to sharpen the details, similar to a sculptor refining the texture of a statue.

The resulting 3D object or large-scale scene can be used in virtual reality applications, digital twins, or robotics development.


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Neuralangelo by Nvidia was manually vetted by our editorial team and was first featured on June 5th 2023.
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Pros and Cons


3D reconstruction from 2D videos
Generates detailed 3D objects
Intricate texture detail translation
Usable for diverse industries
Supports complex materials
High fidelity 3D assets
Incorporates Instant NeRF technology
Optimizes rough 3D representation
Applicable for VR applications
Usable in digital twins
Contributes to robotics development
Supports rendering of large-scale scenes
Offers detail optimization
Translates textures, colors, patterns
Camera position determination
Editing flexibility in design applications
Handy for video game development
Helpful in replication of real-world objects
Enables import of varied-sized objects
Capable of interior, exterior reconstruction
Detailed model production
Transforms smartphone-captured footage
Supports repeated texture patterns
Handles homogenous color variations
Handles strong color variations
Showcased in multiple forums
Outperforms prior methods
Creates usable virtual objects
Easy virtual object creation


Requires multiple video viewpoints
Limited to strong color variations
Challenging with homogeneous colors
Can struggle with repetitive patterns
Reliant on NVIDIA technologies
May require additional software for imports
Requires optimization post-construction
Demands high-quality video inputs


What is Neuralangelo by Nvidia?
How does Neuralangelo create 3D models from 2D videos?
What industries can benefit from using Neuralangelo?
What kind of details can Neuralangelo capture in 3D reconstruction?
What complex materials textures can Neuralangelo translate from 2D videos to 3D assets?
How does Neuralangelo's high fidelity simplify creating virtual objects?
Why is Neuralangelo used in video game development and industrial digital twins?
How does Neuralangelo use instant neural graphics primitives?
What is the process of Neuralangelo optimizing a 3D representation to sharpen the details?
Can Neuralangelo be used in virtual reality applications?
How is Neuralangelo used in robotics development?
What kind of real-world objects can I recreate with Neuralangelo?
How can Neuralangelo benefit creative professionals?
What is the precision of Neuralangelo's 3D reconstruction?
How does Neuralangelo select frames for creating a rough 3D representation?
What improvements does Neuralangelo have over prior 3D reconstruction methods?
Can Neuralangelo handle repetitive texture patterns and color variations?
How does Neuralangelo handle 3D reconstruction of large-scale scenes?
Can I import the 3D objects created by Neuralangelo into other design applications?
What kind of footage can be used as input for 3D reconstruction using Neuralangelo?
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