no code implementations • 23 Oct 2020 • Arunava Chakraborty, Rahul Ragesh, Mahir Shah, Nipun Kwatra
We propose a framework for semi-supervised training of cGANs which utilizes sparse labels to learn the conditional mapping, and at the same time leverages a large amount of unsupervised data to learn the unconditional distribution.
