Datasets:

nihermann
/

annotated-3DGS-artifacts

Tasks:

Image Segmentation

Modalities:

Formats:

Languages:

Size:

ArXiv:

Tags:

3d-reconstruction

artifact-detection

image-quality-assessment

human-annotation

Libraries:

License:

Dataset card Data Studio Files Files and versions

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@@ -40,7 +40,7 @@ The included datasets are a collection from the Mip-NeRF360 [1], Tanks and Templ
 [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
-[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.
 ### Citation
 If you find this work useful, please consider citing:

 [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
+[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 on Graphics, 37(6):1–15, 2018.
 ### Citation
 If you find this work useful, please consider citing: