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The authors suggest incorporating Path Length Regularization to enforce smoother latent space interpolation. This is extremely valuable in the context of ID anonymization for producing images. It can take considerable training effort and compute time to build a face-generating GAN from scratch. NVIDIA StyleGAN2-ADA PyTorch offers pretrained weight. The dimensionality of the noise depends on the architecture of the generator, but most of the GANs I've seen use a unidimensional vector of length between 100 and 256. In PyTorch, torch.Tensor.random_ and torch.randn can respectively be used to generate uniform and Gaussian noise. Share Improve this answer answered Oct 30, 2019 at 20:05 noe.
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