CoRe-GS: Coarse-to-Refined Gaussian Splatting with Semantic Object Focus

• URL: http://arxiv.org/abs/2509.04859v2
• Date: Tue, 16 Sep 2025 08:36:06 GMT
• Title: CoRe-GS: Coarse-to-Refined Gaussian Splatting with Semantic Object Focus
• Authors: Hannah Schieber, Dominik Frischmann, Victor Schaack, Simon Boche, Angela Schoellig, Stefan Leutenegger, Daniel Roth,
• Abstract summary: CoRe-GS is a semantic POI-focused extension of Gaussian Splatting (GS)<n>CoRe-GS first produces a fast segmentation-ready GS representation and then selectively refines splats belonging to semantically relevant POIs detected during data acquisition.<n>This targeted refinement reduces training time to 25% compared to full semantic GS.
• Score: 11.571783968082343
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Mobile reconstruction has the potential to support time-critical tasks such as tele-guidance and disaster response, where operators must quickly gain an accurate understanding of the environment. Full high-fidelity scene reconstruction is computationally expensive and often unnecessary when only specific points of interest (POIs) matter for timely decision making. We address this challenge with CoRe-GS, a semantic POI-focused extension of Gaussian Splatting (GS). Instead of optimizing every scene element uniformly, CoRe-GS first produces a fast segmentation-ready GS representation and then selectively refines splats belonging to semantically relevant POIs detected during data acquisition. This targeted refinement reduces training time to 25\% compared to full semantic GS while improving novel view synthesis quality in the areas that matter most. We validate CoRe-GS on both real-world (SCRREAM) and synthetic (NeRDS 360) datasets, demonstrating that prioritizing POIs enables faster and higher-quality mobile reconstruction tailored to operational needs.

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