Visual Text Generation

Visual text generation focuses on creating images containing realistic and legible text, addressing challenges in aligning visual and textual modalities within generative models. Current research emphasizes improving the accuracy and coherence of generated text through techniques like incorporating glyph-level information, utilizing multimodal large language models to guide text placement and content, and employing diffusion models with refined control mechanisms. This field is significant for advancing multimodal AI, with applications ranging from enhanced image editing and generation to improved accessibility features in media and document creation.