Defect image diffusion generation method and device, equipment and storage medium
By constructing defect physical vectors and adjusting the diffusion noise amplitude, generating and verifying defect images, the problem that defect image generation methods in the prior art cannot pay attention to physical size, and improve the accuracy of defect images.
CN120543684AActive Publication Date: 2025-08-26GUANGDONG MECHANICAL & ELECTRICAL COLLEGE
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Patent Information
- Application Number
- CN202511039065.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-28
- Publication Date
- 2025-08-26
- Estimated Expiration
- 2045-07-28
AI Technical Summary
Technical Problem
In the prior art, defect image generation methods cannot pay attention to the physical size of the defect, resulting in low accuracy of the generated defect image.
Method used
By determining the target defect type and size parameters based on the natural language prompt text input by the user, the defect physical vector is constructed, the diffusion noise amplitude during the diffusion process is adjusted, the initial defect image is generated, and physical consistency verification is performed to output the target defect image.
Benefits of technology
It realizes explicit modeling and dynamic control of the physical size of defective images, and improves the accuracy of generating defective images.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention discloses a defect image diffusion generation method and device, equipment and a storage medium, and relates to the technical field of image processing, and the method comprises the steps: determining a target defect type and a defect size parameter corresponding to a target defect according to a natural language prompt text input by a user; building a defect physical vector based on the target defect type and the defect size parameter; adjusting the diffusion noise amplitude in the diffusion process based on the defect physical vector, and generating an initial defect image corresponding to the initial workpiece noise image; and performing physical consistency verification on the initial defect image, and outputting a target defect image according to a verification result. The diffusion noise amplitude in the diffusion process is adjusted based on the defect physical vector corresponding to the target defect, the initial defect image is generated, and the target defect image is output according to the verification result of the initial defect image, so that the problem that the defect image generation method in the prior art cannot pay attention to the physical size of the defect is solved. And the accuracy of the generated defect image is not high.
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