GLINT: Modeling Scene-Scale Transparency via Gaussian Radiance Transport
arXiv cs.CV / 3/30/2026
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Key Points
- The paper argues that existing 3D Gaussian splatting struggles with physically accurate transparency (e.g., glass) because it cannot properly separate radiance contributions from transparent interfaces versus transmitted geometry.
- GLINT is presented as a new framework that uses an explicitly decomposed Gaussian representation to model reflected and transmitted radiance separately while reconstructing the primary interface.
- During optimization, GLINT uses decomposition-driven geometry-separation cues to bootstrap transparency localization, supplemented by geometry and material priors from a pre-trained video relighting model.
- Experiments on complex transparent scenes reportedly show consistent improvements over prior approaches for transparency reconstruction and radiance transport consistency.
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