  In this work, we develop a method to generate infinite high-resolution images
with diverse and complex content. It is based on a perfectly equivariant
generator with synchronous interpolations in the image and latent spaces.
Latent codes, when sampled, are positioned on the coordinate grid, and each
pixel is computed from an interpolation of the nearby style codes. We modify
the AdaIN mechanism to work in such a setup and train the generator in an
adversarial setting to produce images positioned between any two latent
vectors. At test time, this allows for generating complex and diverse infinite
images and connecting any two unrelated scenes into a single arbitrarily large
panorama. Apart from that, we introduce LHQ: a new dataset of \lhqsize
high-resolution nature landscapes. We test the approach on LHQ, LSUN Tower and
LSUN Bridge and outperform the baselines by at least 4 times in terms of
quality and diversity of the produced infinite images. The project page is
located at https://universome.github.io/alis.
