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Updated: Jun 23, 2025

Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level
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基于扩散模型的面部隐私保护图像的生成

Xingyi You1,2, Xiaohu Zhao1,2, Yue Wang1,2

  • 1National and Local Joint Engineering Laboratory of Internet Applied Technology on Mines, China University of Mining and Technology, Xuzhou 221008, China.

Entropy (Basel, Switzerland)
|June 26, 2024
PubMed
概括

面部隐私保护的扩散模型 (DIFP) 为保护个人数据提供了一种新的解决方案. 这种人工智能驱动的方法产生现实的,高分辨率的加密面孔,避免识别,同时允许完美恢复原始面部信息.

关键词:
扩散模型的扩散模型.面对隐私的保护 保护隐私的保护图像生成 图像生成

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Protein Diffusion in the Membrane01:24

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