Adversarial Generation of Continuous Images

neural implicit representation and GAN

• using a hyper network
  • train a shared weight prior and a offset for each layer
• factorized multiplicative modulation
• weight of each frequency predicted by latent variable
• better latent space: keypoint estimation from latent code(disentanglement)
• multiscale: append position from different resolution
  • another way to progressively grow network