WaterSplatting: Fast Underwater 3D Scene Reconstruction Using Gaussian Splatting

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F25%3A00387805" target="_blank" >RIV/68407700:21230/25:00387805 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21730/25:00387805
Result on the web
<a href="https://doi.org/10.1109/3DV66043.2025.00094" target="_blank" >https://doi.org/10.1109/3DV66043.2025.00094</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/3DV66043.2025.00094" target="_blank" >10.1109/3DV66043.2025.00094</a>

Result language
angličtina
Original language name
WaterSplatting: Fast Underwater 3D Scene Reconstruction Using Gaussian Splatting
Original language description
The underwater 3D scene reconstruction is a challeng ing, yet interesting problem with applications ranging from naval robots to VR experiences. The problem was success fully tackled by fully volumetric NeRF-based methods which can model both the geometry and the medium (water). Un fortunately, these methods are slow to train and do not offer real-time rendering. More recently, 3D Gaussian Splatting (3DGS) method offered a fast alternative to NeRFs. How ever, because it is an explicit method that renders only the geometry, it cannot render the medium and is therefore un suited for underwater reconstruction. Therefore, we pro pose a novel approach that fuses volumetric rendering with 3DGS to handle underwater data effectively. Our method employs 3DGS for explicit geometry representation and a separate volumetric field (queried once per pixel) for cap turing the scattering medium. This dual representation fur ther allows the restoration of the scenes by removing the scattering medium. Our method outperforms state-of-the art NeRF-based methods in rendering quality on the un derwater SeaThru-NeRF dataset. Furthermore, it does so while offering real-time rendering performance, addressing the efficiency limitations of existing methods.
Czech name
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Czech description
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Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project
<a href="/en/project/GX23-07973X" target="_blank" >GX23-07973X: A Unified 3D Map Representation</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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