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Point Cloud Registration datasets
archive 2025-07-28
12 datasets carry the task tag "Point Cloud Registration" (the task itself: Point Cloud Registration), ordered by the archive's paper count. Page 1 of 1: 12 shown of 12. Facet routes are this site's own (the archive records the tag string, not a page).
The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.
Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets
Point Cloud Registration datasets 1–12 of 12
KITTI (Karlsruhe Institute of Technology and Toyota Technological Institute) is one of the most popular datasets for use in mobile robotics and autonomous driving.
3,661 papers · 137 benchmarks
The 3DMATCH benchmark evaluates how well descriptors (both 2D and 3D) can establish correspondences between RGB-D frames of different views.
175 papers · 3 benchmarks
A novel dataset and benchmark, which features 1482 RGB-D scans of 478 environments across multiple time steps.
44 papers · 4 benchmarks
DeformingThings4D is a synthetic dataset containing 1,972 animation sequences spanning 31 categories of humanoids and animals.
42 papers · 0 benchmarks
ScanNet++ (ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes)
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.
25 papers · 5 benchmarks
UrbanLoco is a mapping/localization dataset collected in highly-urbanized environments with a full sensor-suite.
14 papers · 0 benchmarks
A benchmark for matching and registration of partial point clouds with time-varying geometry.
10 papers · 1 benchmark
Cross-source point cloud dataset for registration task.
8 papers · 0 benchmarks
FPv1 (prior name FAUST-partial) is a 3D registration benchmark dataset created to address the lack of data variability in the existing 3D registration benchmarks such as: 3DMatch, ETH, KITTI.
7 papers · 1 benchmark
FAUST-partial is a 3D registration benchmark dataset created to provide a more informative evaluation of 3D registration methods.
5 papers · 9 benchmarks
VBR (VBR: A Vision Benchmark in Rome)
This dataset presents a vision and perception research dataset collected in Rome, featuring RGB data, 3D point clouds, IMU, and GPS data.
3 papers · 0 benchmarks
CODD (Cooperative Driving Dataset)
The Cooperative Driving dataset is a synthetic dataset generated using CARLA that contains lidar data from multiple vehicles navigating simultaneously through a diverse set of driving scenarios.
1 paper · 0 benchmarks
Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.