jayliu0313/Shape-Guided
Shape-Guided Dual-Memory Learning for 3D Anomaly Detection [ICML2023]
This project helps quality control engineers and manufacturing inspectors automatically identify defects or anomalies on the surface of 3D objects. It takes in 3D point cloud data and corresponding RGB images of an object, then outputs a score map highlighting potential anomalies. This is ideal for professionals tasked with visually inspecting objects for imperfections.
No commits in the last 6 months.
Use this if you need to reliably detect unusual features or defects on the surface of manufactured parts or scanned objects using both their visual appearance and 3D shape information.
Not ideal if you are working with 2D images only or need to analyze internal structures rather than surface anomalies.
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48
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7
Language
Python
License
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Category
Last pushed
Oct 24, 2023
Commits (30d)
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