Image to Point Cloud Registration

Description from the archive archive 2025-07-28.

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

2 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

11 shown of 11 papers with code (22 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.

• Implicit Correspondence Learning for Image-to-Point Cloud Registration
  1 Jan 2025 1 repository listed
  Image-to-point cloud registration aims to estimate the camera pose of a given image within a 3D scene point cloud.
• TFCT-I2P: Three stream fusion network with color aware transformer for image-to-point cloud registration
  1 Oct 2024 1 repository listed
  Along with the advancements in artificial intelligence technologies, image-to-point-cloud registration (I2P) techniques have made significant strides.
• Addressing the generalization of 3D registration methods with a featureless baseline and an unbiased benchmark
  23 Mar 2024 1 repository listed
  The FP benchmark addresses the limitations of the current benchmarks: lack of data and parameter range variability, and allows to evaluate the strengths and weaknesses of a 3D registration method w.
• Colmap-PCD: An Open-source Tool for Fine Image-to-point cloud Registration
  9 Oct 2023 1 repository listed
  In contrast, mapping methods based on LiDAR scans are popular in large-scale urban scene reconstruction due to their precise distance measurements, a capability fundamentally absent in visual-based approaches.
• FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth Estimators
  5 Oct 2023 1 repository listed Syntology ran 7 of 9 samples · 2 unverified · 9 pointer-only (licence)
  Matching cross-modality features between images and point clouds is a fundamental problem for image-to-point cloud registration.
• 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.
• GeoTransformer: Fast and Robust Point Cloud Registration with Geometric Transformer
  25 Jul 2023 1 repository listed
  They seek correspondences over downsampled superpoints, which are then propagated to dense points.
• CorrI2P: Deep Image-to-Point Cloud Registration via Dense Correspondence
  12 Jul 2022 1 repository listed
  Motivated by the intuition that the critical step of localizing a 2D image in the corresponding 3D point cloud is establishing 2D-3D correspondence between them, we propose the first feature-based dense correspondence…
• Learning general and distinctive 3D local deep descriptors for point cloud registration
  21 May 2021 1 repository listed
  An effective 3D descriptor should be invariant to different geometric transformations, such as scale and rotation, robust to occlusions and clutter, and capable of generalising to different application domains.
• DeepI2P: Image-to-Point Cloud Registration via Deep Classification
  8 Apr 2021 1 repository listed Syntology ran 4 of 13 samples · 9 unverified
  This paper presents DeepI2P: a novel approach for cross-modality registration between an image and a point cloud.
• 3D Path Planning from a Single 2D Fluoroscopic Image for Robot Assisted Fenestrated Endovascular Aortic Repair
  16 Sep 2018 1 repository listed
  The current standard of intra-operative navigation during Fenestrated Endovascular Aortic Repair (FEVAR) calls for need of 3D alignments between inserted devices and aortic branches.

Syntology lines on 3 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.