Clova AI Research uses unsupervised learning to deliver state-of-the-art image style transfers
April 16, 2020
AI researchers in South Korea created an AI system named U-GAT-IT, an unsupervised learning model for image-to-image translation. They said U-GAT-IT outperforms four other top generative networks created with unsupervised learning in almost every instance.
Image-to-image translation can improve applications ranging from image style transfers to inpainting, the process of predicting missing pixels…