StawGAN: Structural-Aware Generative Adversarial Networks for Infrared Image Translation
StawGAN is a novel model designed to translate night-time thermal infrared images into daytime color images. It goes beyond simple colorization by focusing on enhancing the quality of the output, specifically improving object shapes and definition. The model uses structural awareness through specialized components like a Shape Controller and contrast network, leading to superior results compared to existing methods.