StyLandGAN: A StyleGAN based Landscape Image Synthesis using Depth-map. (arXiv:2205.06611v1 [cs.CV])

Despite recent success in conditional image synthesis, prevalent input
conditions such as semantics and edges are not clear enough to express `Linear
(Ridges)' and `Planar (Scale)' representations. To address this problem, we
propose a novel framework StyLandGAN, which synthesizes desired landscape
images using a depth map which has higher expressive power. Our StyleLandGAN is
extended from the unconditional generation model to accept input conditions. We
also propose a '2-phase inference' pipeline which generates diverse depth maps
and shifts local parts …

arxiv cv image landscape map