Through the Water: Refractive Gaussian Splatting for Water Surface Scenes

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초록

Scenes with water surfaces present a significant challenge for Gaussian Splatting due to the simultaneous presence of refraction and reflection, as well as the difficulty of accurately estimating the geometry of transparent water surfaces. To address this, we propose a novel framework for reconstructing scenes involving both reflection and refraction caused by water surfaces. The water surface is modeled as a trainable plane, and 2D Gaussian ray tracing is applied to account for refraction through the water. We extend 2D Gaussian Splatting by introducing a soft mask parameter and a dual set of Gaussian primitives, which handle both reflected and refracted effects. Our method achieves state-of-the-art performance on newly constructed water surface datasets, including both synthetic and real scenes, and significantly outperforms prior approaches in water-interacting regions. Furthermore, we demonstrate the editability of our model by manipulating the index of refraction to suppress or modify refractive effects, enabling scene transformations into different liquids.

키워드

MODEL
제목
Through the Water: Refractive Gaussian Splatting for Water Surface Scenes
저자
Yoon, Yeonghun; Jung, Hojoon; Lee, Jaeyoon; Kim, Taegwan; Kim, Gyuhyun; Choi, Jongwon
DOI
10.1609/aaai.v40i14.38197
발행일
2026
유형
Proceedings Paper
저널명
FORTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE
권
40
호
14
페이지
12081 ~ 12089