2018
DNA-GAN: Learning Disentangled Representations from Multi-Attribute Images
ICLR 2018workshop
Disentangling factors of variation has always been a challenging problem in representation learning. Existing algorithms suffer from many limitations, such as unpredictable disentangling factors, bad quality of generated images from encodings, lack of identity information, etc. In this paper, we pro…