As living standards improve, modern products need to meet increasingly diversified and
personalized user requirements. Traditional product design methods fall short due to their …

Abstract Controllable Image Synthesis (CIS) is a methodology that allows users to generate
desired images or manipulate specific attributes of images by providing precise input …

Text-to-image synthesis is an attractive but challenging task that aims to generate a photo-
realistic and semantic consistent image from a specific text description. The images …

Text to image synthesizes is a motivating and valuable task to explore in these days. The
objective is to produce images from texts or captions, ie considering textual descriptions as …

Transforming human natural language into photo-realistic images has always been a
challenging issue. Batch Normalization (BN) is used in current text-to-image models to …

Image captioning is a typical cross-modal task, which aims to automatically describe the
main content of an image with a complete and natural sentence. Existing attention based …

Generative adversarial networks (GANs) have attained a lot of attention in the deep learning
community and have been in focus for the past few years. GAN finds its application in …

Synthesizing images from text is to produce images with reliable content as specified text
depiction that is an extremely demanding task with the most important problems like: content …

Abstract Generative Adversarial Networks (GANs) have significantly boosted the
performance of text-to-image generation tasks in recent years. To train the generator, losses …

Controllable image synthesis is a method by which users can manipulate a particular
attribute in an image in a semantically meaningful way without affecting other attributes. This …