Variational Conditional GAN for Fine-grained Controllable Image Generation

Mingqi Hu, Deyu Zhou, Yulan He

In this paper, we propose a novel variational generator framework for conditional GANs to catch semantic details for improving the generation quality and diversity. Traditional gen…