Comments (1)
Hi, it should be noted that we assume that the style image and content image have the same shape at the first of section 3 in the paper. So there does not exist your problem of different size. In the implementation, we also resize the style image to have the same shape with content image.
I think resizing style image would not affect the performance. At the same time, if using different sizes, the Equations and conclusions in the paper are still right. We only need to split M_l to M_l^1 and M_l^2 and rewrite the equations, since in the original MMD (equation 1), X and Y can have different samples.
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Related Issues (9)
- confusion in Linear Kernel Loss functions HOT 1
- Batch Processing HOT 1
- How do you set the bandwidth in Gaussian Kernel HOT 2
- python version problem
- mmd_loss line 43 HOT 1
- Why cannot get good results with Gaussian kernel?
- Have you ever tried the setting of --bn_loss?
- gnorm = mx.nd.norm(model_executor.data_grad).asscalar()
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