Text-Guided Variational Image Generation for Industrial Anomaly Detection and Segmentation

arXiv:2403.06247v1 Announce Type: new
Abstract: We propose a text-guided variational image generation method to address the challenge of getting clean data for anomaly detection in industrial manufacturing. Our method utilizes text information about the target object, learned from extensive text library documents, to generate non-defective data images resembling the input image. The proposed framework ensures that the generated non-defective images align with anticipated distributions derived from textual and image-based knowledge, ensuring stability and generality. Experimental results demonstrate the effectiveness of …

abstract anomaly anomaly detection arxiv challenge clean data cs.ai cs.cv data detection documents generate image image generation images industrial industrial manufacturing information library manufacturing object segmentation text type