Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation
Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation
Unsupervised image-to-image translation is a central task in computer vision. Current translation frameworks will abandon the discriminator once the training process is completed. This paper contends a novel role of the discriminator by reusing it for encoding the images of the target domain. The proposed architecture, termed as NICE-GAN, exhibits …