An End-to-End Automated Pipeline for Controllable Crack Data Synthesis
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arXiv:2609.12431v1 Announce Type: new Abstract: Automated crack inspection increasingly relies on deep learning, yet its reliability is limited by scarce and weakly controllable defect data. Existing generative augmentation methods often treat crack synthesis as a generic image-generation task, off…
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- 2026-09-14 04:00 · arXiv cs.CV
An End-to-End Automated Pipeline for Controllable Crack Data Synthesis