3D Feature Matching

Description from the archive archive 2025-07-28; Papers-with-Code links inside it are rewritten to this site.

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

5 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

10 shown of 10 papers with code (19 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• PRIN/SPRIN: On Extracting Point-wise Rotation Invariant Features
  24 Feb 2021 2 repositories listed
  Spherical Voxel Convolution and Point Re-sampling are proposed to extract rotation invariant features for each point.
• 3D Point Capsule Networks
  27 Dec 2018 2 repositories listed
  In this paper, we propose 3D point-capsule networks, an auto-encoder designed to process sparse 3D point clouds while preserving spatial arrangements of the input data.
• EP2P-Loc: End-to-End 3D Point to 2D Pixel Localization for Large-Scale Visual Localization
  14 Sep 2023 1 repository listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  Visual localization is the task of estimating a 6-DoF camera pose of a query image within a provided 3D reference map.
• Improving Feature-based Visual Localization by Geometry-Aided Matching
  16 Nov 2022 1 repository listed
  We apply GAM to a new hierarchical visual localization pipeline and show that GAM can effectively improve the robustness and accuracy of localization.
• Points to Patches: Enabling the Use of Self-Attention for 3D Shape Recognition
  8 Apr 2022 1 repository listed
  While the Transformer architecture has become ubiquitous in the machine learning field, its adaptation to 3D shape recognition is non-trivial.
• Lepard: Learning partial point cloud matching in rigid and deformable scenes
  24 Nov 2021 1 repository listed Syntology ran 5 of 14 samples · 9 unverified
  We present Lepard, a Learning based approach for partial point cloud matching in rigid and deformable scenes.
• Towards Robust Visual Information Extraction in Real World: New Dataset and Novel Solution
  24 Jan 2021 1 repository listed
  Visual information extraction (VIE) has attracted considerable attention recently owing to its various advanced applications such as document understanding, automatic marking and intelligent education.
• Human Correspondence Consensus for 3D Object Semantic Understanding
  29 Dec 2019 1 repository listed
  Semantic understanding of 3D objects is crucial in many applications such as object manipulation.
• Fully Convolutional Geometric Features
  27 Oct 2019 1 repository listed
  Extracting geometric features from 3D scans or point clouds is the first step in applications such as registration, reconstruction, and tracking.
• Pointwise Rotation-Invariant Network with Adaptive Sampling and 3D Spherical Voxel Convolution
  23 Nov 2018 1 repository listed
  Point cloud analysis without pose priors is very challenging in real applications, as the orientations of point clouds are often unknown.

Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.