MAGIC: Few-Shot Mask-Guided Anomaly Inpainting with Prompt Perturbation, Spatially Adaptive Guidance, and Context Awareness

MAGIC is a new AI framework for few-shot anomaly detection in industrial quality control that uses mask-guided inpainting to generate high-fidelity synthetic anomalies. The system introduces three key innovations: Gaussian prompt perturbation, spatially adaptive guidance, and context-aware mask alignment to improve anomaly generation while preserving normal regions.