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Nvidia patents method to build 3D objects from compressed data

Patent drawing
Patent drawing from the official filing.

Nvidia describes a system that creates 3D objects by learning from compressed data and a table of hidden features. It encodes the object's shape into a multi-layered grid, allowing a computer model to reconstruct the 3D form from these stored details.

Why it mattersThis technique could help software developers create complex 3D models more efficiently by using less data to store and reconstruct shapes.

In the filing’s own words

Approaches presented herein provide systems and methods for generating three-dimensional (3D) objects using compressed data as an input. One or more models may learn from a hash table of latent features to map different features to a reconstruction domain, using a hash function as part of a learned process. A 3D shape for an object may be encoded to a multi-layered grid and represented by a series of embeddings, where given point within the grid May be interpolated based on the embeddings for a given layer of the multi-layered grid. A decoder may then be trained to use the embeddings to generate an output object.

What exactly they claim (claim 1)

1. A processor, comprising: one or more circuits to encode a three-dimensional (3D) object as a plurality of two-dimensional (2D) projections over a plurality of levels of detail, wherein each 2D projection encodes 3D coordinates of the 3D object at a level of detail, of the plurality of levels of detail, corresponding to the respective 2D projection.

Facts

Company
Nvidia (Nvidia Corporation)
Official title
GENERATIVE MODELING FOR 3D OBJECTS USING NEURAL IMPLICIT REPRESENTATIONS
Publication number
US20260301322A1
Application number
19702871
Filed
Jun 9, 2026
Published
Oct 1, 2026
Inventors
8
Claims
20

Classified under

G06T 17/20 Physics & computingG06T 3/4007 Physics & computingG06T 2210/36 Physics & computing

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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.