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Context-aware defect sample generation using conditional diffusion model for surface defect inspection

delete2026-04-07
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PRE
AI
C
Changwoo Nam
S
Sang Jun Lee *
DOI：10.1016/j.measurement.2026.121432delete
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Abstract

Abstract

En 中文
• A context-aware diffusion method generates realistic industrial surface defects. • The proposed SCMP preserves structural consistency with complex backgrounds. • CMDP effectively eliminates unnatural boundary artifacts. • Validated on steel and fabric defect datasets for automated visual defect inspection. • Overcomes data scarcity to improve reliability of visual measurement systems.
Keywords:
context-aware diffusion
structural consistency
boundary artifacts
surface defect inspection
data scarcity

Journal

Measurement cover
Measurement
IF:
5.6
Papers:
2.0W
Citations:
5.4W

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No organization information available