Academic paper poster generation method and system fusing human-machine collaborative optimization mechanism

By employing a phased planning approach based on human-machine collaborative optimization and multi-agent reasoning technology, the problems of insufficient user interaction and aesthetic quality in academic poster generation have been solved, achieving efficient and flexible academic poster generation. The generated posters achieve high quality and stability in both visual appeal and content.

CN122176091APending Publication Date: 2026-06-09NANKAI UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
NANKAI UNIV
Filing Date
2026-01-26
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

Existing academic poster generation methods struggle to provide users with the flexibility and control they need while maintaining high visual aesthetics and content coherence. Automated tools also struggle to balance automation efficiency with the need for personalized human instructions, and their layout lacks robustness.

Method used

It adopts a human-machine collaborative optimization mechanism, and through phased planning and multi-agent reasoning technology, it parses academic paper documents, structures the content and performs refined layout design, including content initialization, layout planning and panel refinement stages, allowing users to interact and adjust.

Benefits of technology

It significantly improves the flexibility, controllability, and aesthetic quality of academic poster generation. The generated posters have stable layouts and good structures, meet personalized needs, and improve design efficiency.

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Abstract

The application belongs to the technical field of human-computer interaction and automatic content creation, and provides an academic paper poster generation method and system fusing a human-computer collaborative optimization mechanism, and the technical scheme is as follows: an editable poster content asset library is constructed; based on semantic information of the content asset library, a panel theme set required to be displayed by the poster is determined, rough layout is performed on the panel, and the content of the panel is initialized to obtain a content initialization output result; based on the content initialization output result, fine version design is performed to obtain a fine version layout scheme, and the completed fine version layout scheme is converted into an editable academic poster file. On the basis of maintaining content coherence and structural integrity, the flexibility and aesthetic quality of the poster generation process are significantly improved.
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