This repository provides the official implementation of the StarGAN paper, a generative adversarial network for multi-domain image-to-image translation. Unlike prior approaches requiring separate models for each domain pair, StarGAN uses a single unified model to translate images across arbitrary domains. The model is trained to perform tasks such as facial attribute transfer and expression synthesis using PyTorch.