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FEDNet:A feature-enhanced diffusion network for efficient and universal texture synthesis

Haichuan Song Xinyi Chen Sylvain Lefebvre

Computational Visual Media2026，Vol.12Issue(2)：P.501-508,8.

Computational Visual Media2026，Vol.12Issue(2)：P.501-508,8.DOI:10.26599/CVM.2025.9450529

FEDNet:A feature-enhanced diffusion network for efficient and universal texture synthesis

Haichuan Song ¹Xinyi Chen ¹Sylvain Lefebvre²

作者信息

1. Department of Computer Science and Technology,East China Normal University,Shanghai 200062,China
2. INRIA Centre de Recherche Nancy Grand Est,Nancy 54603,France
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摘要

关键词

texture synthesis/image manipulation/texturing/diffusion model

分类

信息技术与安全科学

引用本文复制引用

Haichuan Song,Xinyi Chen,Sylvain Lefebvre..FEDNet:A feature-enhanced diffusion network for efficient and universal texture synthesis[J].Computational Visual Media,2026,12(2):P.501-508,8.

基金项目

supported by the Ministry of Industry and Information Technology of China(CEIEC-2024-ZM02-0073). （CEIEC-2024-ZM02-0073）

Computational Visual Media

ISSN：2096-0433

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