GLINT：通过高斯辐射传输建模场景级透明度
GLINT: Modeling Scene-Scale Transparency via Gaussian Radiance Transport
GLINT 将透明界面与透射几何解耦，用显式分解的高斯表示分别建模反射与透射辐射，并借助预训练视频重光照模型提供几何与材质先验，为场景级透明物体重建提供了可复用的辐射传输框架。
原文依据 GLINT reconstructs the primary interface and models reflected and transmitted radiance separately, enabling consistent radiance transport.
摘要译文
由模型翻译 · 术语统一 · 请对照原文核对关键结论尽管三维高斯泼溅已成为一种强大的范式，但它从根本上无法建模玻璃面板等透明物体。核心挑战在于解耦来自透明界面与透过玻璃观察到的透射几何之间相互交织的辐射贡献。我们提出 GLINT，一个通过显式分解高斯表示来建模场景级透明度的框架。GLINT 重建主界面并分别建模反射与透射辐射，从而实现一致的辐射传输。在优化过程中，GLINT 利用分解所诱导的几何分离线索，以及来自预训练视频重光照模型的几何与材质先验，来引导透明区域定位。大量实验表明，在重建复杂透明场景方面，GLINT 相比先前方法取得了持续改进。
英文原文摘要 885 字符
While 3D Gaussian splatting has emerged as a powerful paradigm, it fundamentally fails to model transparency such as glass panels. The core challenge lies in decoupling the intertwined radiance contributions from transparent interfaces and the transmitted geometry observed through the glass. We present GLINT, a framework that models scene-scale transparency through explicit decomposed Gaussian representation. GLINT reconstructs the primary interface and models reflected and transmitted radiance separately, enabling consistent radiance transport. During optimization, GLINT bootstraps transparency localization from geometry-separation cues induced by the decomposition, together with geometry and material priors from a pre-trained video relighting model. Extensive experiments demonstrate consistent improvements over prior methods for reconstructing complex transparent scenes.