Comments (2)
@wanghxcis Thank you for your interest! Yes, you are right. Since the cat5 version breaks the theoretical condition and provides more freedom to the network, it is indeed the skip structure that gives the most powerful effect on the output stylization. I think this would happen less in the sum version. You can also try to constrain the network not to ignore the lower path by imposing an auxiliary loss in the intermediate embedding spaces.
If you find this project is useful or interesting, please consider ⭐️ and watch our repo. Thanks!
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Thanks for your kindly answer!
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Related Issues (20)
- WCT2 seems cannot transfer styles without segmentation maps? Could you please indicate how to make it works without segmentation maps since you claimed in your paper that it supports transfer directly and without segmentation. HOT 1
- Can I train with my data? HOT 1
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- Query regarding "conv0" layer HOT 1
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- Qs about the Dataset HOT 2
- Does it support large-size photos style transfer? HOT 1
- some questions about the figure 9 HOT 2
- How to add temporal consistency HOT 2
- QS about the depth map of transfered images HOT 1
- About training source HOT 4
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- How does it work for an indoor dataset? HOT 1
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- LL components vs. avg. pooling HOT 2
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