Inter-Reflective Gaussian Splatting for Robust and Efficient Inverse Rendering

• URL: http://arxiv.org/abs/2607.22780v1
• Date: Fri, 24 Jul 2026 10:07:10 GMT
• Title: Inter-Reflective Gaussian Splatting for Robust and Efficient Inverse Rendering
• Abstract summary: IRGS++ (Inter-Reflective Gaussian Splatting) is a robust and efficient inverse rendering framework.<n>It employs differentiable 2D Gaussian ray tracing on surface-oriented Gaussian primitives to query visibility and indirect radiance on the fly.
• Score: 15.31654252194479
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Faithful inverse rendering requires visibility and indirect radiance to explain secondary illumination and inter-reflection, yet rasterization-oriented Gaussian representations do not naturally support the secondary-ray queries needed to recover them. We present IRGS++ (Inter-Reflective Gaussian Splatting), a unified robust and efficient Gaussian inverse rendering framework. During transport-aware optimization, IRGS++ employs differentiable 2D Gaussian ray tracing on surface-oriented Gaussian primitives to query visibility and indirect radiance on the fly and evaluate the full rendering equation for inter-reflective transport. This physical core makes Gaussian inverse rendering physically grounded beyond rasterized appearance modeling. To make this backbone useful beyond low-gloss dielectric scenes, the framework incorporates metallic-aware material modeling and robust reflective initialization for glossy, specular, and metallic materials. To make it practical, multiple importance sampling and denoising stabilize finite-sample rendering, while mesh-based secondary-attribute queries reduce the cost of relighting under novel illumination. Quantitative evaluations on low-gloss and glossy benchmarks show improved decomposition and relighting quality together with favorable quality--speed trade-offs under the reported configurations, while real-world studies illustrate plausible relighting under novel illumination.

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