CoCosNet is a deep learning framework that synthesizes photo-realistic images from input images in one domain (e.g., segmentation masks, edge maps, pose keypoints) given an exemplar image whose style it should match. It jointly learns cross-domain correspondence and image translation by first aligning images from distinct domains to an intermediate domain where dense correspondence is established, then synthesizing images based on semantically corresponding patches in the exemplar.