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README.md
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@@ -8,14 +8,13 @@ The `Remove360` dataset provides paired pre/post-removal RGB images and object-l
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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.
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---
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**License:** [CC-BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/)
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**Citing Remove360 Dataset:**
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If you use Remove360 Dataset in your research, please
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@article{sam3dteam2025sam3d3dfyimages,
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title={Remove360: Benchmarking Residuals After Object Removal in 3D Gaussian Splatting},
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author={Simona Kocour and Assia Benbihi and Torsten Sattler},
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archivePrefix={arXiv},
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primaryClass={cs.CV},
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url={https://arxiv.org/abs/2508.11431},
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}
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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.
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**License:** [CC-BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/)
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**Citing Remove360 Dataset:**
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If you use Remove360 Dataset in your research, please cite it using the following BibTeX entry.
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```
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@article{sam3dteam2025sam3d3dfyimages,
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title={Remove360: Benchmarking Residuals After Object Removal in 3D Gaussian Splatting},
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author={Simona Kocour and Assia Benbihi and Torsten Sattler},
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archivePrefix={arXiv},
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primaryClass={cs.CV},
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url={https://arxiv.org/abs/2508.11431},
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}
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```
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