mlsanityData to 14 Oct 2026

GSVisLoc: Generalizable Visual Localization for Gaussian Splatting Scene Representations

arXiv 2508.18242 ↗First posted 25 Aug 2025cs.CVcited by 5

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Abstract (arXiv)

We introduce GSVisLoc, a visual localization method designed for 3D Gaussian Splatting (3DGS) scene representations. Given a 3DGS model of a scene and a query image, our goal is to estimate the camera's position and orientation. We accomplish this by robustly matching scene features to image features. Scene features are produced by downsampling and encoding the 3D Gaussians while image features are obtained by encoding image patches. Our algorithm proceeds in three steps, starting with coarse matching, then fine matching, and finally by applying pose refinement for an accurate final estimate. Importantly, our method leverages the explicit 3DGS scene representation for visual localization without requiring modifications, retraining, or additional reference images. We evaluate GSVisLoc on both indoor and outdoor scenes, demonstrating competitive localization performance on standard benchmarks while outperforming existing 3DGS-based baselines. Moreover, our approach generalizes effectively to novel scenes without additional training.

Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 63 of its 92 references that are in the map. First posted on arXiv 25 Aug 2025.

Builds on

63 of 92 references.

References · 63

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 5.

5 papers.