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ScanNet Dataset

The ScanNet dataset is a large-scale indoor dataset composed of monocular sequences with ground truth poses and depth images.

Data and Resources

This dataset has no data

Cite this as

Rui Yu, Jiachen Liu, Zihan Zhou, Sharon X. Huang (2024). Dataset: ScanNet Dataset. https://doi.org/10.57702/6qois3kh

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It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field Value
Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.1911.11763
Citation
  • https://doi.org/10.48550/arXiv.2402.09944
  • https://doi.org/10.48550/arXiv.2309.13240
Author Rui Yu
More Authors
Jiachen Liu
Zihan Zhou
Sharon X. Huang
Homepage https://isl.org/scan-net-dataset/