Ref-DGS: Reflective Dual Gaussian Splatting

• URL: http://arxiv.org/abs/2603.07664v2
• Date: Fri, 13 Mar 2026 16:14:26 GMT
• Title: Ref-DGS: Reflective Dual Gaussian Splatting
• Abstract summary: Reflective appearance, especially strong and typically near-field specular reflections, poses a fundamental challenge for accurate surface reconstruction and novel view.<n>We present Ref-DGS, a reflective dual Gaussian splatting framework that addresses this trade-off.<n>Experiments demonstrate that Ref-DGS achieves state-of-the-art performance on reflective scenes while training substantially faster than ray-based Gaussian methods.
• Score: 51.77181103979343
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Reflective appearance, especially strong and typically near-field specular reflections, poses a fundamental challenge for accurate surface reconstruction and novel view synthesis. Existing Gaussian splatting methods either fail to model near-field specular reflections or rely on explicit ray tracing at substantial computational cost. We present Ref-DGS, a reflective dual Gaussian splatting framework that addresses this trade-off by decoupling surface reconstruction from specular reflection within an efficient rasterization-based pipeline. Ref-DGS introduces a dual Gaussian scene representation consisting of geometry Gaussians and complementary local reflection Gaussians that capture near-field specular interactions without explicit ray tracing, along with a global environment reflection field for modeling far-field specular reflections. To predict specular radiance, we further propose a lightweight, physically-aware adaptive mixing shader that fuses global and local reflection features. Experiments demonstrate that Ref-DGS achieves state-of-the-art performance on reflective scenes while training substantially faster than ray-based Gaussian methods.

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