| title | RT-Splatting: Joint Reflection-Transmission Modeling with Gaussian Splatting |
|---|---|
| authors | Ji Shi, Xianghua Ying, Bowei Xing, Ruohao Guo, Wenzhen Yue |
| date | 2026-05-18 |
| venue | arXiv (preprint, not peer reviewed) |
| id | arXiv:2605.18263 |
| affiliation | Peking University |
| upvotes | 7 (Hugging Face Daily Papers, 2026-11-01) |
| links | abs pdf hf code |
| abstract | 3D Gaussian Splatting (3DGS) enables real-time novel view synthesis with high visual quality. However, existing methods struggle with semi-transparent specular surfaces that exhibit both complex reflections and clear transmission, often producing blurry reflections or overly occluded transmission. To address this, we present RT-Splatting, a framework that disentangles each Gaussian's geometric occupancy from its optical opacity. This factorization yields a unified surface-volume scene representation with a single set of Gaussian primitives. Our hybrid renderer interprets this representation both as a surface to capture high-frequency reflections and as a volume to preserve clear transmission. To mitigate the ambiguity in jointly optimizing reflection and transmission, we introduce Specular-Aware Gradient Gating, which suppresses misleading gradients from highly specular regions into the transmission branch, effectively reducing distracting floaters. Experiments on challenging semi-transparent scenes show that RT-Splatting achieves state-of-the-art performance, delivering high-fidelity reflections and clear transmission with real-time rendering. Moreover, our factorization naturally enables flexible scene editing. The project page is available at https://sjj118.github.io/RT-Splatting. |
cite
@misc{shi2026rt,
title={RT-Splatting: Joint Reflection-Transmission Modeling with Gaussian Splatting},
author={Ji Shi and Xianghua Ying and Bowei Xing and Ruohao Guo and Wenzhen Yue},
year={2026},
eprint={2605.18263},
archivePrefix={arXiv},
url={https://arxiv.org/abs/2605.18263}
}