The recent success of text-to-image synthesis has taken the world by storm and captured the
general public's imagination. From a technical standpoint, it also marked a drastic change in …

Text-to-image synthesis has recently seen significant progress thanks to large pretrained
language models, large-scale training data, and the introduction of scalable model families …

This paper investigates an open research task of text-to-image synthesis for automatically
generating or manipulating images from text descriptions. Prevailing methods mainly take …

Synthesizing high-fidelity complex images from text is challenging. Based on large
pretraining, the autoregressive and diffusion models can synthesize photo-realistic images …

Text-to-image synthesis (T2I) aims to generate photo-realistic images which are
semantically consistent with the text descriptions. Existing methods are usually built upon …

Text‐to‐image synthesis refers to computational methods which translate human written
textual descriptions, in the form of keywords or sentences, into images with similar semantic …

In this paper, we focus on generating realistic images from text descriptions. Current
methods first generate an initial image with rough shape and color, and then refine the initial …

Generative adversarial networks (GANs) have demonstrated remarkable potential in the
realm of text-to-image synthesis. Nevertheless, conventional GANs employing conditional …

Generating images from natural language instructions is an intriguing yet highly challenging
task. We approach text-to-image generation by combining the power of the retrained CLIP …

Although Generative Adversarial Networks (GANs) have shown remarkable success in
various tasks, they still face challenges in generating high quality images. In this paper, we …