Cross-Instance Gaussian Splatting Registration via Geometry-Aware Feature-Guided Alignment
We present Gaussian Splatting Alignment (GSA), a novel method for aligning two independent 3D Gaussian Splatting (3DGS) models via a similarity transformation (rotation, translation, and scale), even when they are of different objects in the same category (e.g., different cars). In contrast, existing methods can only align 3DGS models of the same object (e.g., the same car) and often must be given true scale as input, while we estimate it successfully. GSA leverages viewpoint-guided spherical map features to obtain robust correspondences and introduces a two-step optimization framework that aligns 3DGS models while keeping them fixed. First, we apply an iterative feature-guided absolute o...
| Authors | Roy Amoyal, Oren Freifeld, Chaim Baskin |
|---|---|
| Primary category | cs.CV |
| Published | 23 March 2026 |
| Last updated at source | 26 March 2026 |
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