3D Object Detection on 3D Gaussian Splatting (3DGS) Assets (USDZ) in NVIDIA Omniverse

Operating System

Ubuntu 24.04

GPU Information

  • Model: RTX 4090, RTX 3060

Detailed Description

Hello,

I am successfully working on utilizing 3D Gaussian Splatting (3DGS) derived assets within NVIDIA Omniverse. I have confirmed that I can convert the 3DGS results into a USDZ file (using tools like 3DGUT) and import it into Omniverse Kit/Create.

My core application goal involves performing 3D Object Detection (identifying and localizing objects, without classifying the type) directly on the reconstructed scene.

My question is as follows:

  1. 3D Object Detection on 3DGS: Is it technically possible to perform 3D Object Detection operations directly on the imported 3DGS representation (the Gaussian particles/point cloud) within Omniverse, or is the data structure inherently unsuitable for this type of geometric analysis?

  2. Required Extension/Workflow: If it is possible, what is the recommended Omniverse Extension or workflow required to enable real-time 3D object detection on 3DGS data? Does this require converting the 3DGS data into an explicit geometry like a Mesh or a dense PointCloud beforehand?

Any guidance on how to leverage the high-fidelity 3DGS reconstruction for real-time object detection and segmentation tasks in the Omniverse environment would be greatly appreciated.

Thank you.

@leo94 Which Isaac Sim and Omniverse version are you targetting?

Hello!

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