{"url":"/task/image-to-point-cloud-registration","name":"Image to Point Cloud Registration","slug":"image-to-point-cloud-registration","description_markdown":"Given a query image and a scene of point cloud, get the camera pose according to them.","categories":[{"name":"Computer Vision","url":"/area/computer-vision"}],"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","slug_source":"archive_url"},"counts":{"papers_tagged":22,"papers_with_code":11,"benchmarks":1,"benchmark_tables_in_archive":1,"benchmark_tables_shown":1,"benchmark_tables_withheld_as_spam":0,"benchmark_definition":"a leaderboard table with at least one row; benchmark_tables_shown also counts the zero-row tables; benchmark_tables_in_archive adds the tables withheld as spam","datasets":2,"subtasks":0,"parent_tasks":1},"benchmarks":[{"leaderboard":"/sota/image-to-point-cloud-registration-on-kitti","slug":"image-to-point-cloud-registration-on-kitti","dataset":"KITTI","dataset_url":"/dataset/kitti","rows_in_archive":1,"metrics":["RRE","RTE"],"first_row_in_archive_order":{"model":"CorrI2P","paper_title":"CorrI2P: Deep Image-to-Point Cloud Registration via Dense Correspondence","paper_url":"/paper/corri2p-deep-image-to-point-cloud","paper_date":"2022-07-12","arxiv_id":"2207.05483","code_links":[{"title":"rsy6318/CorrI2P","url":"https://github.com/rsy6318/CorrI2P"}],"syntology":null}}],"datasets":[{"url":"/dataset/kitti","name":"KITTI","full_name":"","num_papers_in_archive":3661},{"url":"/dataset/vbr","name":"VBR","full_name":"VBR: A Vision Benchmark in Rome","num_papers_in_archive":3}],"subtasks":[],"parent_tasks":[{"url":"/task/point-cloud-registration","name":"Point Cloud Registration"}],"papers":{"order":"repositories listed in the archive (desc), then date (desc); the archive holds no stars","population":"papers tagged with this task that list at least one repository in the archive","shown":11,"of":11,"tagged_in_all":22,"items":[{"url":"/paper/implicit-correspondence-learning-for-image-to","title":"Implicit Correspondence Learning for Image-to-Point Cloud Registration","date":"2025-01-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/tfct-i2p-three-stream-fusion-network-with","title":"TFCT-I2P: Three stream fusion network with color aware transformer for image-to-point cloud registration","date":"2024-10-01","arxiv_id":"2410.00360","repositories_listed":1,"syntology":null},{"url":"/paper/addressing-the-generalization-of-3d","title":"Addressing the generalization of 3D registration methods with a featureless baseline and an unbiased benchmark","date":"2024-03-23","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/colmap-pcd-an-open-source-tool-for-fine-image","title":"Colmap-PCD: An Open-source Tool for Fine Image-to-point cloud Registration","date":"2023-10-09","arxiv_id":"2310.05504","repositories_listed":1,"syntology":null},{"url":"/paper/freereg-image-to-point-cloud-registration","title":"FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth Estimators","date":"2023-10-05","arxiv_id":"2310.03420","repositories_listed":1,"syntology":{"n":9,"n_ran":7,"n_unverified":2,"n_pointer_only":9}},{"url":"/paper/ep2p-loc-end-to-end-3d-point-to-2d-pixel","title":"EP2P-Loc: End-to-End 3D Point to 2D Pixel Localization for Large-Scale Visual Localization","date":"2023-09-14","arxiv_id":"2309.07471","repositories_listed":1,"syntology":{"n":3,"n_ran":3,"n_unverified":0,"n_pointer_only":3}},{"url":"/paper/geotransformer-fast-and-robust-point-cloud","title":"GeoTransformer: Fast and Robust Point Cloud Registration with Geometric Transformer","date":"2023-07-25","arxiv_id":"2308.03768","repositories_listed":1,"syntology":null},{"url":"/paper/corri2p-deep-image-to-point-cloud","title":"CorrI2P: Deep Image-to-Point Cloud Registration via Dense Correspondence","date":"2022-07-12","arxiv_id":"2207.05483","repositories_listed":1,"syntology":null},{"url":"/paper/generalisable-and-distinctive-3d-local-deep","title":"Learning general and distinctive 3D local deep descriptors for point cloud registration","date":"2021-05-21","arxiv_id":"2105.10382","repositories_listed":1,"syntology":null},{"url":"/paper/deepi2p-image-to-point-cloud-registration-via","title":"DeepI2P: Image-to-Point Cloud Registration via Deep Classification","date":"2021-04-08","arxiv_id":"2104.03501","repositories_listed":1,"syntology":{"n":13,"n_ran":4,"n_unverified":9,"n_pointer_only":0}},{"url":"/paper/3d-path-planning-from-a-single-2d","title":"3D Path Planning from a Single 2D Fluoroscopic Image for Robot Assisted Fenestrated Endovascular Aortic Repair","date":"2018-09-16","arxiv_id":"1809.05955","repositories_listed":1,"syntology":null}],"syntology_records":3,"syntology_note":"a paper without a record is not a recorded non-run: it may lack an arXiv id or simply be absent from the graph layer"},"description_links":{"kept":0,"unwrapped_to_text":0,"bare_urls_linked":0,"relative_images_dropped":0,"rule":"internal links are kept only when the target slug exists in the catalog"},"syntology":{"read_at":"2026-09-24T18:15:14+00:00","claim":"Per-sample execution status on synthesized fixtures ('ran N of M samples'); not a correctness claim and not a ranking signal.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"}},"not_shown":{"libraries":"the archive has no per-task library table","trend_sparklines":"the Trend column of the benchmarks table was a rendered image; it is not in the archive","social_and_latest_sorts":"stars and social signals are not in the archive"}}