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IIDM:Image-to-image diffusion model for semantic image synthesis

Feng Liu Xiaobin Chang

Computational Visual Media2025，Vol.11Issue(2)：P.423-429,7.

Computational Visual Media2025，Vol.11Issue(2)：P.423-429,7.DOI:10.26599/CVM.2025.9450419

IIDM:Image-to-image diffusion model for semantic image synthesis

Feng Liu ¹Xiaobin Chang²

作者信息

1. School of Artificial Intelligence,Sun Yat-sen University,Zhuhai 519082,China
2. School of Artificial Intelligence,Sun Yat-sen University,Zhuhai 519082,China Key Laboratory of Intelligent Assessment Technology for Sustainable Tourism,Ministry of Culture and Tourism,Sun Yat-sen University,Zhuhai,China
折叠

摘要

关键词

generative adversarial networks/semantic image synthesis/image synthesis/directly synthesize images/image image diffusion model/style reference imagesexisting/generative adversarial networks gans gans/image denoising task

分类

信息技术与安全科学

引用本文复制引用

Feng Liu,Xiaobin Chang..IIDM:Image-to-image diffusion model for semantic image synthesis[J].Computational Visual Media,2025,11(2):P.423-429,7.

基金项目

supported by the National Natural Science Foundation for Young Scientists of China Award(No.62106289). （No.62106289）

Computational Visual Media

ISSN：2096-0433

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