LocoGAN -- Locally Convolutional GAN. (arXiv:2002.07897v2 [eess.IV] UPDATED)

In the paper we construct a fully convolutional GAN model: LocoGAN, which
latent space is given by noise-like images of possibly different resolutions.
The learning is local, i.e. we process not the whole noise-like image, but the
sub-images of a fixed size. As a consequence LocoGAN can produce images of
arbitrary dimensions e.g. LSUN bedroom data set. Another advantage of our
approach comes from the fact that we use the position channels, which allows
the generation of fully periodic (e.g. …

arxiv construct gan gan model image images noise paper process space