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Updated: Jun 16, 2025

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
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HCGAN:为不配对的素描面部合成提供层次对比生成对抗网络

Kangning Du1, Zhen Wang1, Lin Cao1

  • 1School of Information and Communication Engineering, Beijing Information Science and Technology University, Key Laboratory of Information and Communication Systems, Ministry of Information Industry, Beijing, China.

PeerJ. Computer science
|August 15, 2024
PubMed
概括

我们开发了一种新的层次对比生成对抗网络 (HCGAN),用于实现真实的面部素描合成. 这种方法有效地从光学图像中生成高质量的草图,没有配对的训练数据,优于现有的方法.

关键词:
面部草图合成 面部草图合成生成性的对抗性网络.层次对比网络是一个层次对比网络.没有配对的学习.

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