Generating a Fusion Image: One's Identity and Another's Shape. (arXiv:1804.07455v2 [cs.CV] UPDATED)

Web: http://arxiv.org/abs/1804.07455

Generating a novel image by manipulating two input images is an interesting
research problem in the study of generative adversarial networks (GANs). We
propose a new GAN-based network that generates a fusion image with the identity
of input image x and the shape of input image y. Our network can simultaneously
train on more than two image datasets in an unsupervised manner. We define an
identity loss LI to catch the identity of image x and a shape loss LS …

arxiv cv fusion identity