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genforce / interfacegan

[CVPR 2020] Interpreting the Latent Space of GANs for Semantic Face Editing
https://genforce.github.io/interfacegan/
MIT License
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Multiple Semantics. #87

Open wiibo opened 3 years ago

wiibo commented 3 years ago

Would you please tell me about how to train the boundaries to manipulate multiple semantics? is it putting two trained boundaries together or computing the covariance of diferent semantics' scores?

songwoh commented 3 years ago

As far as I understand, for each of the semantics, there is going to be different SVM linear classifier and the corresponding normal. Then as the paper suggests in section 2.2, you perform n1-(n1^T n2)n2 to obtain a new normal that you can add on to the original latent code to manipulate semantic n1 without affecting n2. So in short, train 2 independent SVM classifiers with different semantic attribute scores, and the semantic scores is going to be a scalar, for each of them.