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To address this issue, we present a novel general-purpose Style and WAvelet based GAN (SWAGAN) that implements progressive generation in the frequency domain. ... SWAGAN incorporates wavelets throughout its generator and discriminator architectures, enforcing a frequency-aware latent representation at every step of the way. ... As it turns out, adopting the wavelet-based generative approach allows for training a style-based generative model with similar performance at roughly a fourth of the computational budget. ...arXiv:2102.06108v1 fatcat:zreadqhmufhsznwbkcb6gp2yrm