This PhD thesis presents innovations to improve the efficiency of normalizing flows through new architectures and algorithms, alongside applying generative models to diverse computer vision challenges such as agricultural quality assessment, privacy-preserving autonomous driving, geological mapping, art restoration, and missing traffic sign detection.