发表机构
School of Data Science, Fudan University; Shanghai Innovation Institute（复旦大学数据科学学院; 上海创新研究院）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
研究逆渲染问题，提出IRGS++框架，通过可微二维高斯光线追踪等技术，能实时查询可见性和间接辐射，评估互反射传输方程，纳入金属感知材料建模等，在低光泽和光泽基准测试及实际研究中表现良好，提升逆渲染质量与效率。
AI 中文摘要
忠实的逆渲染需要可见性和间接辐射来解释二次照明和互反射，然而面向光栅化的高斯表示并不自然地支持恢复它们所需的二次光线查询。我们提出了IRGS++（互反射高斯点渲染），一个统一的鲁棒且高效的高斯逆渲染框架。在传输感知优化期间，IRGS++在面向表面的高斯基元上采用可微的二维高斯光线追踪，实时查询可见性和间接辐射，并评估互反射传输的完整渲染方程。这种物理核心使高斯逆渲染超越光栅化外观建模，具有物理基础。为使该框架在低光泽介质场景之外也有用，它纳入了金属感知材料建模和针对光泽、镜面和金属材料的鲁棒反射初始化。为使其实用，多重重要性采样和去噪稳定有限样本渲染，而基于网格的二次属性查询降低了新光照下重光照的成本。在低光泽和光泽基准上的定量评估表明，在所报告的配置下，分解和重光照质量得到改善，且质量与速度之间有良好的权衡，而实际研究说明了新光照下合理的重光照情况。
英文摘要
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.
