jayliu0313/Diffusion_Multi-View_AD
Learning Diffusion Models for Multi-View Anomaly Detection [ECCV2024]
This project helps engineers or quality control specialists identify unusual defects in products or components viewed from multiple angles. It takes a collection of multi-view images of items (some normal, some potentially flawed) and processes them to highlight areas that deviate from expected patterns, generating visual heatmaps that pinpoint anomalies. This tool is designed for anyone responsible for automated visual inspection in manufacturing or production.
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Use this if you need to automatically detect subtle or complex anomalies in industrial products that are captured using multiple camera views.
Not ideal if you are looking for an out-of-the-box solution with a graphical user interface, as this requires command-line execution and dataset preparation.
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Python
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Oct 16, 2024
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