Tibetan type cultural creative graph automatic generation method and system based on artificial intelligence

By combining user intent analysis based on the BERT model with a gene pool of Tibetan cultural symbols, and by optimizing symbol combination rules and loss functions, the problem of cultural accuracy and efficiency in the generation of Tibetan cultural and creative patterns using generative artificial intelligence tools was solved, achieving efficient and accurate generation of Tibetan cultural and creative patterns.

CN121962330APending Publication Date: 2026-05-01TIBET YAKORE BRAND DESIGN CO LTD
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Patent Information

Application Number
CN202511634167.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-11-10
Publication Date
2026-05-01

AI Technical Summary

Technical Problem

Existing generative AI tools cannot understand the deep logic of Tibetan culture when generating Tibetan cultural and creative patterns, resulting in poor cultural accuracy of the generated results, easy violation of cultural taboos, low design efficiency, and difficulty in meeting the rapid iteration and personalized needs of the market.

Method used

A pre-trained BERT model is used to analyze user intent. Combined with a Tibetan cultural symbol gene library, Tibetan cultural and creative patterns that conform to cultural norms are generated through symbol combination rules and loss functions. The Stable Diffusion model is used to generate the patterns and output a structure report.

Benefits of technology

It enables efficient and accurate generation of cultural and creative patterns that conform to Tibetan cultural norms, improves design efficiency, ensures the cultural correctness and artistry of the generated results, and is suitable for non-professional users to quickly obtain Tibetan cultural and creative works that conform to cultural norms.

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Abstract

The invention discloses a Tibetan type cultural creative graph automatic generation method and system based on artificial intelligence, and relates to the field of Tibetan type cultural creative graphs, and the method comprises the steps: carrying out the semantic analysis of a natural language description, and extracting a feature vector and a core keyword of a user intention; constructing a Tibetan culture symbol gene pool; based on the vector similarity, an initial culture symbol set conforming to the design intention of the user is screened out; eliminating symbol combinations with culture conflicts, and recommending symbol combination schemes conforming to culture specifications; extracting the shape feature of each symbol as an invariant constraint, and generating a symbol graph set after shape self-adaptive adjustment; and based on the diffusion model framework, generating a final Tibetan cultural and creative pattern. And outputting a structure report of the current Tibetan cultural and creative pattern according to the generated Tibetan cultural and creative pattern. The method has the advantages that natural language description can be automatically converted into Tibetan cultural and creative patterns conforming to culture specifications and aesthetic requirements, and deep fusion of culture inheritance and intelligent generation is achieved.
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