Text Rendering

Text rendering in image generation focuses on accurately and aesthetically producing text within synthesized images, a crucial challenge for current models. Research emphasizes improving the fidelity of rendered text through customized text encoders (like those based on large language models and diffusion models), enhanced multilingual support, and finer control over font attributes and layout via techniques such as step-aware preference learning and character-wise contrastive learning. These advancements are significant for various applications, including graphic design, advertising, and document processing, by enabling more precise and visually appealing text integration within generated images.