天津科技大学学报2024，Vol.39Issue(3)：64-71,8.DOI:10.13364/j.issn.1672-6510.20230084
基于十字形窗口的生成对抗网络模型
Generative Adversarial Network Model Based on Cross-Shaped Window
摘要
Abstract
Since traditional generative adversarial networks(GAN)are based on convolutional neural networks(CNN)as the basic framework,CNN cannot process remote dependency relationships.As a result,image feature resolution and fine detail loss will be caused.The cross-shaped window attention mechanism in CSWin Transformer can effectively capture remote dependencies between image components.Therefore,in this article we propose a generative adjoint network model CTGAN(CSWin Transformer GAN)based on CSWin Transformer.The model was tested on the CIFAR-10 datasets and the CelebA datasets with higher resolution,and it showed a good generation effect.Moreover,high fidelity and detailed images can be generated.关键词
生成对抗网络/CSWin Transformer/生成模型Key words
generative adversarial network/CSWin Transformer/generative model分类
信息技术与安全科学引用本文复制引用
王丹,王鹏程,张桉祺,王子涵..基于十字形窗口的生成对抗网络模型[J].天津科技大学学报,2024,39(3):64-71,8.基金项目
复杂电子系统仿真重点实验基金项目(DXZT-JC-ZZ-2020-013) （DXZT-JC-ZZ-2020-013）
复杂能源系统智能计算教育部工程研究中心开放基金项目(ESIC202102) （ESIC202102）
