{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/real3d-ad-a-dataset-of-point-cloud-anomaly-1","title":"Real3D-AD: A Dataset of Point Cloud Anomaly Detection","arxiv_id":"2309.13226","date":"2023-09-23","proceeding":"NeurIPS 2023 11","authors":["Jiaqi Liu","Guoyang Xie","Ruitao Chen","Xinpeng Li","Jinbao Wang","Yong liu","Chengjie Wang","Feng Zheng"],"abstract":"High-precision point cloud anomaly detection is the gold standard for identifying the defects of advancing machining and precision manufacturing. Despite some methodological advances in this area, the scarcity of datasets and the lack of a systematic benchmark hinder its development. We introduce Real3D-AD, a challenging high-precision point cloud anomaly detection dataset, addressing the limitations in the field. With 1,254 high-resolution 3D items from forty thousand to millions of points for each item, Real3D-AD is the largest dataset for high-precision 3D industrial anomaly detection to date. Real3D-AD surpasses existing 3D anomaly detection datasets available regarding point cloud resolution (0.0010mm-0.0015mm), 360 degree coverage and perfect prototype. Additionally, we present a comprehensive benchmark for Real3D-AD, revealing the absence of baseline methods for high-precision point cloud anomaly detection. To address this, we propose Reg3D-AD, a registration-based 3D anomaly detection method incorporating a novel feature memory bank that preserves local and global representations. Extensive experiments on the Real3D-AD dataset highlight the effectiveness of Reg3D-AD. For reproducibility and accessibility, we provide the Real3D-AD dataset, benchmark source code, and Reg3D-AD on our website:https://github.com/M-3LAB/Real3D-AD.","url_abs":"https://arxiv.org/abs/2309.13226v3","url_pdf":"https://arxiv.org/pdf/2309.13226v3.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"real3d-ad-a-dataset-of-point-cloud-anomaly-1","repo_url":"https://github.com/m-3lab/real3d-ad","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}}],"tasks":[{"task_slug":"3d-anomaly-detection","task_name":"3D Anomaly Detection"},{"task_slug":"anomaly-detection","task_name":"Anomaly Detection"}],"methods":[],"datasets_introduced":[{"slug":"real-3d-ad","name":"Real 3D-AD","full_name":""}],"methods_introduced":[],"results":[{"leaderboard":"/sota/3d-anomaly-detection-on-anomaly-shapenet10","task":"3D Anomaly Detection","dataset":"Anomaly-ShapeNet10","model":"Reg3D-AD","rank_in_archive_order":6,"of":7,"metrics":{"O-AUROC":"0.533","P-AUROC":"0.631"},"uses_additional_data":false},{"leaderboard":"/sota/3d-anomaly-detection-on-real-3d-ad","task":"3D Anomaly Detection","dataset":"Real 3D-AD","model":"Reg3D-AD","rank_in_archive_order":11,"of":19,"metrics":{"Mean Performance of P. and O. ":"0.702","Object AUROC":"0.704","Point AUROC":"0.700"},"uses_additional_data":true}],"syntology":{"syntology_url":null,"atlas_url":"https://app.syntology.ai/?focus=2309.13226","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2309.13226"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/m-3lab/real3d-ad","reach":{"status":"ok"}}],"summary":{"ran_fixture":1,"ran_honours":1,"unverified":3},"by_repo_kind":{"official":{"samples":4,"ran":1,"repositories":1}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":5,"samples":[{"code_sha256_prefix":"f776b0618055e2f4","entry":"get_edges_of_pc","repo":null,"repo_kind":null,"path":null,"file_url":null,"link_basis":"identical_code_first_harvested_elsewhere","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":null,"inline_ok":false,"mcp_get_code":{"code_sha256":"f776b0618055e2f4"}},{"code_sha256_prefix":"ec413739d406e611","entry":"pc_normalize","repo":"m-3lab/real3d-ad","repo_kind":"official","path":"M3DM/pointnet2_utils.py","file_url":"https://github.com/m-3lab/real3d-ad/blob/HEAD/M3DM/pointnet2_utils.py","link_basis":"harvester_set","language":"python","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"ec413739d406e611"}},{"code_sha256_prefix":"b426324b6ed6ccaf","entry":"load","repo":"m-3lab/real3d-ad","repo_kind":"official","path":"patchcore/backbones.py","file_url":"https://github.com/m-3lab/real3d-ad/blob/HEAD/patchcore/backbones.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"b426324b6ed6ccaf"}},{"code_sha256_prefix":"6ddec81b1d23c787","entry":"square_distance","repo":"m-3lab/real3d-ad","repo_kind":"official","path":"M3DM/pointnet2_utils.py","file_url":"https://github.com/m-3lab/real3d-ad/blob/HEAD/M3DM/pointnet2_utils.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"6ddec81b1d23c787"}},{"code_sha256_prefix":"b1227ddb721e2999","entry":"timeit","repo":"m-3lab/real3d-ad","repo_kind":"official","path":"M3DM/pointnet2_utils.py","file_url":"https://github.com/m-3lab/real3d-ad/blob/HEAD/M3DM/pointnet2_utils.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"b1227ddb721e2999"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}