This document summarizes a presentation on unpaired image-to-image translation using cycle-consistent adversarial networks. It discusses the motivation for this approach, which is to perform image translation without needing paired training data, using a cycle consistency loss to ensure the translated image is similar to the original. The method uses GANs with this additional cycle consistency loss. Experiments demonstrated it can perform the translation but sometimes fails to capture semantic features fully.