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Updated: May 20, 2025

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DMFFT:使用快速里叶变换的扩散模型的生成质量提高

Cuihong Yu1, Cheng Han2,3, Chao Zhang1,4

  • 1School of Computer Science and Technology, Changchun University of Science and Technology, Changchun, 130022, China.

Scientific reports
|March 26, 2025
PubMed
概括

研究人员通过分析频率域中的U-Net特征来增强文本到图像 (T2I) 和文本到视频 (T2V) 生成的扩散模型. 新的DMFFT方法可以提高发电质量,而不需要再培训.

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