Reconstructing complex reflections in real-world scenes from 2D images is essential for achieving photorealistic novel view synthesis. Existing methods that utilize environment maps to model reflections from distant lighting often struggle with high-frequency reflection details and fail to account for near-field reflections. In this work, we introduce EnvGS, a novel approach that employs a set of Gaussian primitives as an explicit 3D representation for capturing reflections of environments. These environment Gaussian primitives are incorporated with base Gaussian primitives to model the appearance of the whole scene. To efficiently render these environment Gaussian primitives, we developed a ray-tracing-based renderer that leverages the GPU's RT core for fast rendering. This allows us to jointly optimize our model for high-quality reconstruction while maintaining real-time rendering speeds. Results from multiple real-world and synthetic datasets demonstrate that our method produces significantly more detailed reflections, achieving the best rendering quality in real-time novel view synthesis.

翻译：从二维图像重建真实场景中的复杂反射对于实现逼真的新视角合成至关重要。现有利用环境贴图建模远距离光照反射的方法通常难以处理高频反射细节，且无法考虑近场反射。本文提出EnvGS，一种创新方法，采用一组高斯基元作为显式三维表示来捕捉环境反射。这些环境高斯基元与基础高斯基元相结合，共同建模整个场景的外观。为高效渲染这些环境高斯基元，我们开发了基于光线追踪的渲染器，利用GPU的RT核心实现快速渲染。这使得我们能够联合优化模型以实现高质量重建，同时保持实时渲染速度。在多个真实场景和合成数据集上的实验结果表明，本方法能生成显著更精细的反射效果，在实时新视角合成中实现了最佳的渲染质量。