Crack Detection with Conditional Diffusion Model

Detecting cracks in surface images is crucial in engineering and materials science. Although learning-based methods have shown success in this area, accurately determining the shape of cracks remains a challenge. To address this issue, we introduce the first conditional diffusion model in crack detection. Our experiments show that this model can accurately detect crack shapes and achieves the highest precision score.