Resolution Dependent GAN Interpolation for Controllable Image Synthesis Between Domains
2020-10-11Code Available1· sign in to hype
Justin N. M. Pinkney, Doron Adler
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- github.com/happy-jihye/Cartoon-StyleGan2pytorch★ 660
- github.com/happy-jihye/Cartoon-StyleGANpytorch★ 660
- github.com/justinpinkney/toonifynone★ 619
Abstract
GANs can generate photo-realistic images from the domain of their training data. However, those wanting to use them for creative purposes often want to generate imagery from a truly novel domain, a task which GANs are inherently unable to do. It is also desirable to have a level of control so that there is a degree of artistic direction rather than purely curation of random results. Here we present a method for interpolating between generative models of the StyleGAN architecture in a resolution dependent manner. This allows us to generate images from an entirely novel domain and do this with a degree of control over the nature of the output.