基于多尺度卷积神经网络的非遗烙画设计方法及系统
By using a multi-scale convolutional neural network design method, combined with an intangible cultural heritage composition knowledge graph and an adaptive vision-process coupling network, a parameterized guidance scheme for intangible cultural heritage pyrography is generated. This solves the problem of the disconnect between design and process in traditional design methods, and realizes efficient and feasible intelligent design and human-machine collaborative optimization of intangible cultural heritage pyrography.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- WUHAN INST OF TECH
- Filing Date
- 2026-03-09
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies lack a design scheme that can deeply integrate the aesthetic knowledge of intangible cultural heritage pyrography, intelligently generate visually realistic and technically feasible designs, and it is difficult to achieve human-computer collaborative interaction optimization. Traditional design methods suffer from problems such as a disconnect between design conception and technical implementation, difficulties in teaching and inheritance, and low innovation efficiency.
A design method for intangible cultural heritage pyrography based on multi-scale convolutional neural networks is adopted. By constructing a knowledge graph of intangible cultural heritage composition, using a multimodal large model to analyze creative input, integrating a few-sample attention mechanism to generate sketches, and generating a parameterized pyrography guidance scheme through an adaptive vision-process coupling network, human-computer collaboration is achieved by combining style fine-tuning and interaction optimization.
It achieves cultural authenticity, realistic texture, and technical feasibility in the design of intangible cultural heritage pyrography, lowers the learning threshold, improves design efficiency and innovation possibilities, supports low-latency interactive design, and promotes the digital inheritance and innovative development of intangible cultural heritage skills.
Smart Images
Figure CN122415779A_ABST