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UNet currently adds bias between two convolutional blocks in residual block as a means of class/timestep conditioning. Another option would be to use featurewise linear modulation or AdaIN.
The text was updated successfully, but these errors were encountered:
UNet currently adds bias between two convolutional blocks in residual block as a means of class/timestep conditioning. Another option would be to use featurewise linear modulation or AdaIN.
The text was updated successfully, but these errors were encountered: