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Datasets:
nihermann
/
annotated-3DGS-artifacts

Tasks:
Image Segmentation
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
< 1K
ArXiv:
Tags:
3d-reconstruction
artifact-detection
image-quality-assessment
human-annotation
Libraries:
Datasets
License:
Dataset card Data Studio Files
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@@ -36,11 +36,11 @@ The dataset was created by fitting 3DGS to a scene while using a reduced number
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  The included datasets are a collection from the Mip-NeRF360 [1], Tanks and Temples [2], and Deep Blending [3] datasets; thus, the ground truths are copies from their data.
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- [1] Jonathan T. Barron, Ben Mildenhall, Matthew Tancik, Peter 594 Hedman, Ricardo Martin-Brualla, and Pratul P. Srinivasan. 595 Mip-NeRF: A Multiscale Representation for Anti-Aliasing 596 Neural Radiance Fields, 2021.
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- [2] Arno Knapitsch, Jaesik Park, Qian-Yi Zhou, and Vladlen 656 Koltun. Tanks and temples: benchmarking large-scale scene 657 reconstruction. ACM Transactions on Graphics, 36(4):1–13, 658 2017
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- [3] Peter Hedman, Julien Philip, True Price, Jan-Michael Frahm, 619 George Drettakis, and Gabriel Brostow. Deep blending for 620 free-viewpoint image-based rendering. ACM Transactions 621 on Graphics, 37(6):1–15, 2018.
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  ### Citation
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  If you find this work useful, please consider citing:
 
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  The included datasets are a collection from the Mip-NeRF360 [1], Tanks and Temples [2], and Deep Blending [3] datasets; thus, the ground truths are copies from their data.
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+ [1] Jonathan T. Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman, Ricardo Martin-Brualla, and Pratul P. Srinivasan. Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields, 2021.
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+ [2] Arno Knapitsch, Jaesik Park, Qian-Yi Zhou, and Vladlen Koltun. Tanks and temples: benchmarking large-scale scene reconstruction. ACM Transactions on Graphics, 36(4):1–13, 2017
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+ [3] Peter Hedman, Julien Philip, True Price, Jan-Michael Frahm, George Drettakis, and Gabriel Brostow. Deep blending for free-viewpoint image-based rendering. ACM Transactions 621 on Graphics, 37(6):1–15, 2018.
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  ### Citation
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  If you find this work useful, please consider citing: