Animation generation method based on AIGC

By using script generation models, NLP tools and GCN networks in animation generation technology, semantic and spatial relationship diagrams are constructed, and the problem of lack of controllability in complex context processing is solved, and efficient and personalized animation creation effects are achieved.

CN120219577AInactive Publication Date: 2025-06-27GUANGSHI YUANQI (GUANGZHOU) DIGITAL INFORMATION TECHNOLOGY CO LTD +1
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Patent Information

Application Number
CN202510270751.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-07
Publication Date
2025-06-27
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The existing technology lacks controllability in dealing with complex contexts, polysemous words and contextual implications, resulting in the generated animated dialogues and narration appear monotonous and lack of depth and personalization.

Method used

By inputting the text corresponding to the story outline and the best prompt word into the script generation model, the play text is output; using NLP tools for text dependency analysis and target area detection, a semantic relationship diagram and spatial relationship diagram are constructed; features are input to the GCN network, the similarity of the text image is calculated, and the pre-generated scene image is output based on the similarity threshold, the initial animation video is generated, and the automatic editing and export are performed.

Benefits of technology

It significantly improves the efficiency and quality of animation creation, reduces production costs, is highly customizable and scalable, and can be customized and expanded according to user needs and preferences.

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Abstract

The invention relates to the technical field of animation generation, in particular to an animation generation method based on AIGC. The method comprises the following steps: inputting a text corresponding to a story outline and an optimal cue word into a script generation model, and outputting a script text; respectively constructing a semantic relation graph and a spatial relation graph based on the phrase features and the object region features; calculating the similarity of the text images according to an integration result, judging whether the similarity exceeds a preset similarity threshold, and if yes, outputting a pre-generated scene image; and inputting a pre-generated scene image into the animation generation model, and outputting an initial animation video: generating a sound effect and background music of the initial animation video by adopting the optimal cue word combination, and automatically editing the generated animation to export a final animation file. According to the method, the animation creation efficiency and quality can be remarkably improved, the manufacturing cost is reduced, high customizability and expandability are achieved, and personalized customization and expansion can be carried out according to the requirements and preferences of users.
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