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Nov, 2024
具有激活平滑的艺术神经风格迁移算法
Artistic Neural Style Transfer Algorithms with Activation Smoothing
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Xiangtian Li, Han Cao, Zhaoyang Zhang, Jiacheng Hu, Yuhui Jin...
TL;DR
本研究针对神经风格迁移(NST)中的图像质量问题,提出了一种利用激活平滑的ResNet进行NST的新方法。研究表明,平滑变换能够显著提高风格化结果的质量,具有重要的实际应用价值。
Abstract
The works of Gatys et al. demonstrated the capability of
Convolutional Neural Networks
(CNNs) in creating artistic style images. This process of transferring content images in different styles is called
Neural Style Tra
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