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CVPR2025顶会

PosterMaker: Towards High-Quality Product Poster Generation with Accurate Text Rendering

Yifan Gao, Zihang Lin, Chuanbin Liu, Min Zhou, Tiezheng Ge, Bo Zheng, Hongtao Xie

2025年份
21顶会引用

摘要

Product posters, which integrate subject, scene, and text, are crucial promotional tools for attracting customers. Cre- * Equal contribution. ‡ Corresponding author. † Work done during the internship at Alibaba Group.

ating such posters using modern image generation methods is valuable, while the main challenge lies in accurately rendering text, especially for complex writing systems like Chinese, which contains over 10,000 individual characters. In this work, we identify the key to precise text rendering

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