Text-to-image synthesis refers to generating an image from a given text description, the key
goal of which lies in photo realism and semantic consistency. Previous methods usually …

Despite the cross-modal text-to-imagesynthesis task has achieved great success, most of
the latest works in this field are based on the network architectures proposed by …

How to recommend outfits has gained considerable attention in both academia and industry
in recent years. Many studies have been carried out regarding fashion compatibility …

The existing image-to-video translation methods generally follow a frame-by-frame
generative paradigm, while extracting the temporal information from a reference video or an …

Text-to-image generation aims at generating realistic images which are semantically
consistent with the given text. Previous works mainly adopt the multi-stage architecture by …

In recent years, generative adversarial networks have successfully synthesized images
through text descriptions. However, there are still problems that the generated image cannot …

For decades, co-relating different data domains to attain the maximum potential of machines
has driven research, especially in neural networks. Similarly, text and visual data (images …

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 generation has attracted significant interest from researchers and practitioners
in recent years due to its widespread and diverse applications across various industries …

Nowadays, neural networks are actively used for data hiding; however, there is currently no
systematic knowledge regarding their utilization in this field. This is a significant gap …