UW-GS: Distractor-Aware 3D Gaussian Splatting for Enhanced Underwater Scene Reconstruction
3D Gaussian splatting (3DGS) offers the capability to achieve real-time high quality 3D scene rendering. However, 3DGS assumes that the scene is in a clear medium environment and struggles to generate satisfactory representations in underwater scenes, where light absorption and scattering are prevalent and moving objects are involved. To overcome these, we introduce a novel Gaussian Splatting-based method, UW-GS, designed specifically for underwater applications. It introduces a color appearance that models distance-dependent color variation, employs a new physics-based density control strategy to enhance clarity for distant objects, and uses a binary motion mask to handle dynamic content. Optimized with a well-designed loss function supporting for scattering media and strengthened by pseudo-depth maps, UW-GS outperforms existing methods with PSNR gains up to 1.26dB. To fully verify the effectiveness of the model, we also developed a new underwater dataset, S-UW, with dynamic object masks. The code of UW-GS and S-UW will be available at https://github.com/WangHaoran16/UW-GS.
Authors
- Nantheera Anantrasirichai (ORCID: https://orcid.org/0000-0002-2122-5781)
- David Bull (ORCID: https://orcid.org/0000-0001-7634-190X)
- Haoran Wang (ORCID: https://orcid.org/0000-0001-6449-3770)
- Fan Zhang (ORCID: https://orcid.org/0000-0001-6623-9936)
Institutions
- University of Bristol (GB)
Publication Details
- Published
- 2025-02-26
- DOI
- https://doi.org/10.1109/wacv61041.2025.00324
- Citations
- 7
- Primary Topic
- Underwater Acoustics Research
- Type
- article
- Field-Weighted Citation Impact
- 12.55
Funders
- UK Research and Innovation
- Engineering and Physical Sciences Research Council