News
- November 23, 2023: NVS and Semantic benchmarks released, several updates to the dataset. Check out the Changelog for details
- October 12, 2023: A ready-to-run dataparser for ScanNet++ is in Nerfstudio now.
- September 28, 2023: ScanNet++ website is up! Apply for access to download the data now.🔥
Download the data
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Introduction
ScanNet++ is a large scale dataset with 450+ 3D indoor scenes containing
sub-millimeter resolution laser scans, registered 33-megapixel DSLR images,
and commodity RGB-D streams from iPhone. The 3D reconstructions are annotated
with long-tail and label-ambiguous semantics to benchmark semantic understanding methods,
while the coupled DSLR and iPhone captures enable benchmarking of novel view synthesis methods
in high-quality and commodity settings.
Benchmarks
Citation
If you use the ScanNet++ data or code please cite:
@inproceedings{yeshwanthliu2023scannetpp,
title={ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes},
author={Yeshwanth, Chandan and Liu, Yueh-Cheng and Nie{\ss}ner, Matthias and Dai, Angela},
booktitle = {Proceedings of the International Conference on Computer Vision ({ICCV})},
year={2023}
}License
The ScanNet++ data is released under the
ScanNet++ Terms of Use, which you can agree to after signing up.
Privacy
We take privacy very seriously.
We have taken great care to ensure that the data is anonymized and does not contain any personally identifiable
information.
If you notice any privacy concerns, please contact us.