Comments (4)
可以的,但是预训练VGG19提取的冗余信息太多,整体性能应该会下降。
我早期做过这个实验,效果是比较差的,后来方法改进后没试过,你可以尝试下。
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VGG19在4层和11层可以提取色彩和光照信息,但是更深层就无法有效分离色彩信息了,您在以前的实验种是使用的哪一层的特征呢?
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我用的是style loss常用的四层的全局池化后的向量concat。你可以尝试训练一下,我开源的代码和早期实验的代码差别还是比较大的,可能现在vgg19可以了。但就我经验,vgg19提取的风格信息不是增强所需的信息。
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非常感谢您的回答!
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Related Issues (11)
- Have you tried image retouching with StarEnhancer? HOT 6
- The results are not the same as the paper
- About pretrain model HOT 1
- One question about the code under the setting of sigle-style enhancement HOT 1
- How can I use style encoder to train classification on my dataset?
- Questions about dataset preparation HOT 4
- Is it feasible to use GAN for unpaired training? HOT 4
- Dataset processing HOT 2
- Multi-style, unpaired setting HOT 4
- How to test with my own style HOT 1
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