DisUnknown Distilling Unknown Factors for Disentanglement Learning

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Published:

not all factors are labeled

  • assume all other factors labeled and this single factor and all other task-irrlevent factors encapsulate into one factor
  • two stage training
    • extract unknown factor disentangledly
      • gt labels + predicted unknown -> reconstruct image
      • random labels + predicted unknown -> cannot reconstruct gt labels
        • s.t. no informations are leaked!!!
    • train a conditional GAN: embed labeled factor into the latent space
      • s.t. random factor is preserved, images are photo-realistic, gt labels are preserved, good!