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:
-
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?
-
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.