Text to Complicated Image Synthesis with Segmentation Information Guidance

In this paper, we propose a novel method called Segmentation Information Guidance (SIG). In this method, additional segmentation information is added to guide the process of text to complicated image synthesis. We demonstrate the effectiveness of SIG model on Microsoft Common Objects in Common (MSCOCO) dataset. It proves that the image results generated by directly using the segmentation image are more authentic and coherent than that without background.