用分解高斯表示实现大场景透明物体的精确重建。
GLINT: Modeling Scene-Scale Transparency via Gaussian Radiance Transport
- 将透明界面与透射几何分离建模，分别处理反射和透射辐射。
- 在复杂透明场景重建上优于现有方法，实现更一致的光传输效果。
- 适合需要真实感透明材质重建的3D视觉任务，如影视制作。
尽管3D高斯点阵已成为强大范式，但其在建模玻璃等透明物体时存在根本性缺陷。核心挑战在于分离透明界面产生的辐射贡献与透过玻璃观察到的透射几何之间的纠缠关系。本文提出GLINT框架，通过显式分解的高斯表示建模场景级透明性。该方法重建主界面，并分别建模反射与透射辐射，实现一致的辐射传输。优化过程中，GLINT利用分解带来的几何分离线索，结合预训练视频重光照模型提供的几何与材质先验，自动定位透明区域。大量实验表明，该方法在重建复杂透明场景方面显著优于现有技术。
原文摘要 · Abstract (English)
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.
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