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I tried to get age/eyeglass boundry using the method discribed in the paper "interfacegan", e.g. n = n_age - (n_age^T * n_eyeglass) * n_eyeglass with the boundary file age.npy and glass.npy provided, but when I manipute age/eyeglasses attribute, the images hardly changed as expected. If there is any difference when manipulating w and wp?
The text was updated successfully, but these errors were encountered:
This phenomenon is discussed in InterFaceGAN, which is that conditional manipulation does work well on StyleGAN W space. The reason is that all boundaries in the W space are already orthogonal. You can verify this by measuring the similarity between n and n_age you've mentioned. They should be very close to each other.
Yes. But the disentanglement in W space is not perfect. That is why the entanglement between "eyeglasses" and "age" can still be observed. How to find more disentangled boundaries is still worth exploring.
I tried to get age/eyeglass boundry using the method discribed in the paper "interfacegan", e.g. n = n_age - (n_age^T * n_eyeglass) * n_eyeglass with the boundary file age.npy and glass.npy provided, but when I manipute age/eyeglasses attribute, the images hardly changed as expected. If there is any difference when manipulating w and wp?
The text was updated successfully, but these errors were encountered: