An intelligent painting generation and style control method simulating human creation strategy

By constructing a multi-dimensional creative strategy feature vector and a strategy decision model, and combining feedback analysis and optimization algorithms, the dynamic adjustment of intelligent painting generation and style control is realized, which solves the problems of fixed generation mode and static style control in existing technologies and meets the personalized style needs of creators.

CN122368243APending Publication Date: 2026-07-10ZHEJIANG COLLEGE OF ZHEJIANG UNIV OF TECHOLOGY
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
ZHEJIANG COLLEGE OF ZHEJIANG UNIV OF TECHOLOGY
Filing Date
2026-03-24
Publication Date
2026-07-10

AI Technical Summary

Technical Problem

Existing intelligent painting generation technology lacks the dynamic creative strategies to simulate human creators. The generation mode is fixed and the style control is static, which cannot meet the creators' flexible needs for style changes and expressiveness. Furthermore, it lacks feedback analysis and strategy update mechanisms.

Method used

A multi-dimensional creative strategy feature vector is constructed, and style control parameters are output by combining the strategy decision model. The creative strategy is dynamically adjusted through feedback analysis and optimization algorithms to achieve multi-round iterative optimization.

Benefits of technology

It simulates the creative decision-making process of human creators, achieves dynamic and precise control over painting styles, meets creators' personalized needs for style changes and expressiveness, adapts to flexible adjustments at different creative stages, and is applicable to various digital art scenarios.

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Abstract

This invention relates to the fields of artificial intelligence and digital image processing technology. It discloses an intelligent painting generation and style control method that simulates human creative strategies, comprising the following steps: S1, acquiring creative input information, which includes at least theme information defining the scope of the creative content and creative target parameters describing the desired visual effect; S2, based on the creative input information, constructing a multi-dimensional creative strategy feature vector to characterize dynamic decision-making factors in the human creative process; S3, acquiring the current painting state features corresponding to the current round of painting on the canvas. This invention simulates human creative strategies, improves the creative flexibility of the intelligent painting system, realizes dynamic decision-making and control of painting styles, supports multi-round generation and feedback optimization, is suitable for serialized creation, and is applicable to animation, illustration, and cultural IP digital content generation scenarios.
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