This repository implements SelectionGAN, a generative adversarial network with cascaded semantic guidance for cross-view image translation. The model uses multi-channel attention selection mechanisms to translate images across different views or semantic mappings. It builds on standard deep learning practices using PyTorch, with published results demonstrating image generation capabilities across multiple datasets including CVUSA and Dayton.