Anodapter: A Unified Framework for Generating Aligned Anomaly Images and Masks Using Diffusion Models
In industrial manufacturing, anomaly inspection performance is frequently hampered by the scarcity of anomaly data. To address this issue, synthetic anomaly masks and corresponding images are generated using various methods. These methods typically employ separate branches within a single backbone o...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11000123/ |
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