A controllable generative model for generating pavement crack images in complex scenes
Hancheng Zhang,
Zhendong Qian,
Wei Zhou
et al.
Abstract:Existing crack recognition methods based on deep learning often face difficulties when detecting cracks in complex scenes such as brake marks, water marks, and shadows. The inadequate amount of available data can be primarily attributed to this factor. To address this issue, a controllable generative model of pavement cracks is proposed that can generate crack images in complex scenes by leveraging background images and crack mask images. The proposed model, the crack diffusion model (CDM), is based on the dif… Show more
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