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ACM Multimedia 2024Poster Session 3

Prompt2Poster: Automatically Artistic Chinese Poster Creation from Prompt Only

Shaodong Wang, Yunyang Ge, Liuhan Chen, Haiyang Zhou, Qian Wang 0062, Xinhua Cheng, Li Yuan 0007

PDF 由论文原始站点提供,PaperCompass 不保存论文文件。DOI 10.1145/3664647.3681495 ↗

摘要

As a critical component in graphic design, artistic posters are widely applied in the advertising and entertainment industry, thus the automatic poster creation from user-provided prompts has become increasingly desired recently. Although existing Text2Image methods create impressive images aligned with given prompts, they fail to generate ideal artistic posters, especially with Chinese texts. To create desired artistic Chinese posters including an aligned background, reasonable layouts, and stylized graphical texts from given prompts only, we propose an automatic poster creation framework, named Prompt2Poster. Our framework utilizes the capacity of the powerful Large Language Model (LLM) to extract user intention from provided prompts and generate the aligned background. Although only taking a user prompt as the input, linguistic, visual, and geometrical information is fully utilized in the framework, bringing the ability to fit different distributions. To achieve the use of multi-modal information in the framework, two carefully designed modules, Controllable Layout Generator (CLG) and Graphical Text Generator (GTG) are proposed, leading to accurate and pleasurable visual results. Comprehensive experiments demonstrate that our Prompt2Poster achieves superior performance, especially in text quality and visual harmony.