3D Anomaly Detection

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

3 leaderboard tables shown for this task, 3 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

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

Subtasks archive 2025-07-28

2 subtasks in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

18 shown of 18 papers with code (36 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.

• Towards Total Recall in Industrial Anomaly Detection
  15 Jun 2021 18 repositories listed Syntology ran 5 of 36 samples · 31 unverified
  Being able to spot defective parts is a critical component in large-scale industrial manufacturing.
• Towards High-Resolution 3D Anomaly Detection: A Scalable Dataset and Real-Time Framework for Subtle Industrial Defects
  10 Jul 2025 1 repository listed
  In industrial point cloud analysis, detecting subtle anomalies demands high-resolution spatial data, yet prevailing benchmarks emphasize low-resolution inputs.
• Examining the Source of Defects from a Mechanical Perspective for 3D Anomaly Detection
  9 May 2025 1 repository listed
  Next, we present the Corrective Force Prediction Network (CFP-Net), which uses complementary representations for point-level analysis to simulate the different contributions from internal and external corrective forces.
• Boosting Global-Local Feature Matching via Anomaly Synthesis for Multi-Class Point Cloud Anomaly Detection
  21 Feb 2025 1 repository listed
  Specifically, GLFM is structured into three stages: Stage-I proposes an anomaly synthesis pipeline that stretches point clouds to create abundant anomaly data that are utilized to adapt the point cloud feature extractor…
• Revisiting Multimodal Fusion for 3D Anomaly Detection from an Architectural Perspective
  23 Dec 2024 1 repository listed
  Existing efforts to boost multimodal fusion of 3D anomaly detection (3D-AD) primarily concentrate on devising more effective multimodal fusion strategies.
• Look Inside for More: Internal Spatial Modality Perception for 3D Anomaly Detection
  18 Dec 2024 1 repository listed
  Besides, to better align structural information with point data, we propose an enhanced key point feature extraction module for amplifying spatial structure feature representation.
• SplatPose+: Real-time Image-Based Pose-Agnostic 3D Anomaly Detection
  15 Oct 2024 1 repository listed
  Image-based Pose-Agnostic 3D Anomaly Detection is an important task that has emerged in industrial quality control.
• PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection
  1 Oct 2024 1 repository listed Syntology ran 17 of 26 samples · 9 unverified · 23 pointer-only (licence)
  Zero-shot (ZS) 3D anomaly detection is a crucial yet unexplored field that addresses scenarios where target 3D training samples are unavailable due to practical concerns like privacy protection.
• R3D-AD: Reconstruction via Diffusion for 3D Anomaly Detection
  15 Jul 2024 1 repository listed
  However, there are two major challenges to the practical application of the current approaches: 1) the embedded models suffer the prohibitive computational and storage due to the memory bank structure; 2) the…
• Looking 3D: Anomaly Detection with 2D-3D Alignment
  27 Jun 2024 1 repository listed
  Automatic anomaly detection based on visual cues holds practical significance in various domains, such as manufacturing and product quality assessment.
• SplatPose & Detect: Pose-Agnostic 3D Anomaly Detection
  10 Apr 2024 1 repository listed
  Detecting anomalies in images has become a well-explored problem in both academia and industry.
• Towards Scalable 3D Anomaly Detection and Localization: A Benchmark via 3D Anomaly Synthesis and A Self-Supervised Learning Network
  25 Nov 2023 1 repository listed
  During testing, the point cloud repeatedly goes through the Mask Reconstruction Network, with each iteration's output becoming the next input.
• Towards Generic Anomaly Detection and Understanding: Large-scale Visual-linguistic Model (GPT-4V) Takes the Lead
  5 Nov 2023 1 repository listed
  This study explores the use of GPT-4V(ision), a powerful visual-linguistic model, to address anomaly detection tasks in a generic manner.
• Real3D-AD: A Dataset of Point Cloud Anomaly Detection
  23 Sep 2023 1 repository listed Syntology ran 2 of 5 samples · 3 unverified · 5 pointer-only (licence)
  High-precision point cloud anomaly detection is the gold standard for identifying the defects of advancing machining and precision manufacturing.
• Multimodal Industrial Anomaly Detection via Hybrid Fusion
  1 Mar 2023 1 repository listed Syntology ran 3 of 9 samples · 6 unverified
  2D-based Industrial Anomaly Detection has been widely discussed, however, multimodal industrial anomaly detection based on 3D point clouds and RGB images still has many untouched fields.
• Shape-Guided: Shape-Guided Dual-Memory Learning for 3D Anomaly Detection
  27 Jan 2023 1 repository listed
  We present a shape-guided expert-learning framework to tackle the problem of unsupervised 3D anomaly detection.
• Asymmetric Student-Teacher Networks for Industrial Anomaly Detection
  14 Oct 2022 1 repository listed
  We train a normalizing flow for density estimation as a teacher and a conventional feed-forward network as a student to trigger large distances for anomalies: The bijectivity of the normalizing flow enforces a…
• Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection
  10 Mar 2022 1 repository listed Syntology ran 1 of 9 samples · 8 unverified · 1 pointer-only (licence)
  We utilize a recently introduced 3D anomaly detection dataset to evaluate whether or not using 3D information is a lost opportunity.

Syntology lines on 5 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.