RGB+3D Anomaly Detection and Segmentation

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

1 dataset 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

7 shown of 7 papers with code (8 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.

• The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization
  16 Dec 2021 2 repositories listed
  We introduce the first comprehensive 3D dataset for the task of unsupervised anomaly detection and localization.
• TransFusion -- A Transparency-Based Diffusion Model for Anomaly Detection
  16 Nov 2023 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  We reformulate the two-stage architecture into a single-stage iterative process that allows the exchange of information between the reconstruction and localization.
• Cheating Depth: Enhancing 3D Surface Anomaly Detection via Depth Simulation
  2 Nov 2023 1 repository listed Syntology ran 1 of 2 samples · 1 unverified
  (ii) We tackle the lack of diverse industrial depth datasets by introducing a simulation process for learning informative depth features in the depth encoder.
• 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 4 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.