An intelligent design method for color-coated kirigami based on deep learning
A technology of intelligent design and deep learning, applied in the field of intelligent image recognition, can solve problems such as increasing difficulty, and achieve the effect of reducing design cost, shortening design and production cycle, and improving generation effect
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0030] Such as figure 1 As shown, the present invention provides a kind of color jacket paper-cut intelligent design method based on deep learning, comprising the following steps:
[0031] A: Input a high-definition natural picture;
[0032] B: performing face recognition on the high-definition natural picture;
[0033] C: Segment the image part of the recognized face into the contour of the face, and perform the segmentation of the landscape contour on the part of the image that does not recognize the face. The contour segmentation process uses the Unet model of the convolutional neural network for segmentation;
[0034] D: Select a style model for the high-definition natural picture in step A, then use the selected style model image as the style image, and use the image part after the landscape contour separation as the content image to perform neural style transfer, and perform neural style transfer on the generated image of the same layer Corrected by the norm function t...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com