UW-GS: Distractor-Aware 3D Gaussian Splatting for Enhanced Underwater Scene Reconstruction
<|reference_start|>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.<|reference_end|>
@article{wang2024uw-gs:,
    title={UW-GS: Distractor-Aware 3D Gaussian Splatting for Enhanced Underwater
  Scene Reconstruction},
    author={Haoran Wang, Nantheera Anantrasirichai, Fan Zhang, and David Bull},
    journal={arXiv preprint arXiv:2410.01517},
    year={2024},
    archivePrefix={arXiv},
    eprint={2410.01517},
    primaryClass={cs.CV}
}