MUNIT (Multimodal Unsupervised Image-to-Image Translation) is a deep learning model that learns to translate images from one domain to another using unsupervised training. It uses a conditional generative adversarial network architecture with separate encoders for content and style, enabling diverse translations from a single input image. The model was published at ECCV 2018 by NVIDIA researchers.