Cross-view image synthesis using geometry-guided conditional GANs

Krishna Regmi, Ali Borji

Abstract: Highlights•The first work to synthesize outdoor natural scene images between aerial and street view, conditioned on images in one view.•Exploit semantic segmentation maps of target view images to regularize the training; they are not required during testing.•Using homography as preprocessing step to guide conditional GANs significantly helps cross-view synthesis task.•Our extensive experiments with various methods provide significant analysis of the cross-view synthesis approaches.