| --- |
| license: cc-by-nc-4.0 |
| task_category: image_to_3d |
| --- |
| This repository contains the `Remove360` dataset. |
|
|
| The `Remove360` dataset provides paired pre/post-removal RGB images and object-level masks captured in real-world indoor and outdoor environments. It is designed to benchmark and evaluate semantic residuals—unintended semantic traces left behind—after object removal in 3D Gaussian Splatting. The dataset covers a broader and more complex range of full-scene representations, enabling comprehensive evaluation of 3D object removal techniques beyond isolated object instances. |
|
|
| This dataset is intended to help assess whether semantic presence can truly be eliminated after object removal and if downstream models can still infer what was removed. |
|
|
| **License:** [CC-BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/) |
|
|
| **Citing Remove360 Dataset:** |
|
|
| If you use Remove360 Dataset in your research, please cite it using the following BibTeX entry. |
|
|
| ``` |
| @article{sam3dteam2025sam3d3dfyimages, |
| title={Remove360: Benchmarking Residuals After Object Removal in 3D Gaussian Splatting}, |
| author={Simona Kocour and Assia Benbihi and Torsten Sattler}, |
| year={2025}, |
| eprint={2508.11431}, |
| archivePrefix={arXiv}, |
| primaryClass={cs.CV}, |
| url={https://arxiv.org/abs/2508.11431}, |
| } |
| ``` |
