StyleFlow Attribute conditioned Exploration of StyleGAN-Generated Images using Conditional Continuous Normalizing Flows

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attribute-conditioned sampling and attributecontrolled editing

  • the former as finding non-linear paths in latent space
  • recall: z -> w -> image
    • for the second task, given a image and desired attributes w, we first map the image to latent space to get a w, predict its attributes a_i, invert to get the initial z_0
    • how to invert the z -> w function? CNF!
    • CNF is clamed to be less entangled
  • specific editing works best at specific stages/layers
  • by continuous, a time variable is introduced in each layer of CNF
    • seems in code set to 0 -> 1
    • using torchdiffeq, an ode solver