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NvidiaPatent applicationAI & softwareInterest 6/10

Nvidia patents video tech to build 3D scenes from casual clips

Patent drawing
Patent drawing from the official filing.

Nvidia describes a method for creating 3D models from standard video footage without needing precise camera tracking data. The system uses a grid-based structure to organize 3D points, allowing it to generate new views of a scene from angles not captured in the original video.

Why it mattersThis could make it easier to turn simple phone videos into interactive 3D experiences without specialized equipment.

In the filing’s own words

Systems and methods are disclosed for novel view synthesis (NVS) using a three-dimensional (3D) Gaussian Spatting (3DGS) framework. For example, embodiments of the present disclosure may obtain an input video comprising a plurality of frames and train the 3DGS framework to obtain training outputs comprising estimated camera poses for each of the plurality of frames, octree anchor formations comprising anchor points indicating a center of each of a plurality of octree anchor formation voxels that are based on a voxel density of the corresponding octree anchor formation voxel, and a multi-layer perceptron (MLP) that determines 3DGS parameters based on the octree anchor formations. Subsequently, an inference input indicating an inference camera pose may be obtained and an inference output from a viewpoint indicated by the inference camera pose may be generated.

What exactly they claim (claim 1)

1. A computer-implemented method for novel view synthesis (NVS) using a three-dimensional (3D) Gaussian Spatting (3DGS) framework, comprising: obtaining an input video comprising a plurality of frames; training the 3DGS framework to obtain training outputs comprising estimated camera poses for each of the plurality of frames and octree anchor formations comprising anchor points indicating a center of each of a plurality of octree anchor formation voxels that are based on a voxel density of the corresponding octree anchor formation voxel; obtaining an inference input indicating an inference camera pose; and generating an inference output from a viewpoint indicated by the inference camera pose based on the estimated camera poses and the octree anchor formations.

Facts

Company
Nvidia (NVIDIA Corporation)
Official title
ROBUST UNPOSED THREE-DIMENSIONAL GAUSSIAN SPLATTING FOR CASUAL LONG VIDEOS USING OCTREE ANCHOR FORMATIONS
Publication number
US20260320906A1
Application number
19324259
Filed
Sep 10, 2025
Published
Oct 15, 2026
Inventors
6
Claims
22

Classified under

G06T 15/205 Physics & computingG06T 7/70 Physics & computingG06T 2207/10016 Physics & computingG06T 2207/10024 Physics & computingG06T 2207/10028 Physics & computingG06T 2207/20081 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.