Generative adversarial networks (GANs) have been extensively studied in the past few years. Arguably their most significant impact has area of computer vision where great advances made challenges such as plausible image generation, image-to-image translation, facial attribute manipulation, and similar domains. Despite successes achieved to date, applying GANs real-world problems still poses cha...