|
|
--- |
|
|
license: cc-by-4.0 |
|
|
--- |
|
|
**Submerged3D** |
|
|
|
|
|
- Our newly introduced, Submerged3D, is the first dataset captured in deep underwater environments, highlighting real-world challenges such as limited lighting and severe turbidity. |
|
|
|
|
|
- Submerged3D consists of 4 scenes, each containing 20 RGB 720p images, focusing on shipwrecks captured in the deep sea. |
|
|
|
|
|
This dataset supports the research described in [RUSplatting](https://arxiv.org/abs/2505.15737). |
|
|
|
|
|
If you think this dataset/project is helpful, please feel free to cite our paper: |
|
|
|
|
|
```bibtex |
|
|
@inproceedings{jiang2025rusplatting, |
|
|
author = {Zhuodong Jiang and Haoran Wang and Guoxi Huang and Brett Seymour and Nantheera Anantrasirichai}, |
|
|
title = {RUSplatting: Robust 3D Gaussian Splatting for Sparse-View Underwater Scene Reconstruction}, |
|
|
booktitle = {Proceedings of the British Machine Vision Conference (BMVC)}, |
|
|
year = {2025} |
|
|
} |
|
|
``` |