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In this paper, we introduce Random Path Generative Adversarial Network (RPGAN) -- an alternative design of GANs that can serve as a tool for generative model analysis. ... While the latent space of a typical GAN consists of input vectors, randomly sampled from the standard Gaussian distribution, the latent space of RPGAN consists of random paths in a generator network. ... RP-GAN is based on an alternative generator design that allows natural interpretation of different layers via using random routing as a source of stochasticity. ...arXiv:1912.10920v2 fatcat:s2dgfkxmfze4po5pvus3xgv6du
This work addresses the problem of discovering, in an unsupervised manner, interpretable paths in the latent space of pretrained GANs, so as to provide an intuitive and easy way of controlling the underlying ... propose to learn non-linear warpings on the latent space, each one parametrized by a set of RBF-based latent space warping functions, and where each warping gives rise to a family of non-linear paths via ... RPGAN: gans interpretability via random routing. CoRR, abs/1912.10920, 2019.  A. Voynov and A. Babenko. Unsupervised discovery of in- terpretable directions in the GAN latent space. ...arXiv:2109.13357v1 fatcat:cnbdieg4rnaobfin4fmvyw2rpm