Template3D-AD: Point Cloud Template Matching Method Based on Center Points for 3D Anomaly Detection
April 30, 2025 · View on GitHub
Yi Liu*, Changsheng Zhang*, Yufei Yang
(* Corresponding authors)
Our paper has been accepted by IJCAI 2025
Overview
This paper proposes Template3D-AD, the first 3D anomaly detection method based on template matching.

Data preparation
run save_fpfh.py
voxel_size = 0.25 for Real3D-AD dataset and voxel_size = 0.25 for Anomaly-ShapeNet-v2 dataset
Run
run main.py
Acknowledgments.
This work is supported by the Fundamental Research Funds for the Central Universities (N25BSS022) and the Ningxia Natural Science Foundation (2024AAC03349).
Our benchmark is built on M3DM and Real3D-AD, thanks their extraordinary works!
BibTex Citation
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