Multi-Channel Attention Selection GAN With Cascaded Semantic Guidance for Cross-View Image Translation
Multi-Channel Attention Selection GAN With Cascaded Semantic Guidance for Cross-View Image Translation
Cross-view image translation is challenging because it involves images with drastically different views and severe deformation. In this paper, we propose a novel approach named Multi-Channel Attention SelectionGAN (SelectionGAN) that makes it possible to generate images of natural scenes in arbitrary viewpoints, based on an image of the scene and …