Instance Map Based Image Synthesis With a Denoising Generative Adversarial Network
Semantic layout-based image synthesizing, which has benefited from the success of generative adversarial Accent Table networks (GANs), has received a substantial amount of attention recently.How to enhance the synthesis image equality while maintaining the stochasticity of the GAN remains a challenge.We propose a novel denoising framework to handle