Generative Image Experiment Using Stylegan And Perlin Noise

An experimental study exploring the intersection of machine learning and procedural generation. The project investigates how Perlin noise maps can influence StyleGAN outputs, using a dataset of lightning imagery to visualize the evolution from randomness to structured forms.