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RGS: Reflection-aware Gaussian Splatting via Learning Geometry Continuity for Reflective Objects
Gaussian Splatting has significantly improved the quality of novel view synthesis with explicit Gaussian representation. However, we observed that existing 3D Gaussian Splatting methods (3DGS) often suffer from surface collapse issues on reflective regions, and thus produce inferior geometry and low-quality specular. In this work, we propose a physically-based deferred rendering framework, named Reflection-aware Gaussian Splatting (RGS), that can accurately model specular regions and improve novel view synthesis performance. Specifically, we found that a powerful 3D foundation model can provid
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- arXiv · AI, language, vision and robotics · 2026-09-16T20:55:24.000Z
First collected: 2026-09-19T20:28:26.698Z. This is not the publication date.