April 24, 2017
Unsupervised Cross-Domain Image Generation
International Conference on Learning Representations (ICLR) 2017
We study the problem of transferring a sample in one domain to an analog sample in another domain. Given two related domains, S and T, we would like to learn a generative function G that maps an input sample from S to the domain T, such that the output of a given representation function f, which accepts inputs in either domains, would remain unchanged.
By: Yaniv Taigman, Adam Polyak, Lior Wolf