Refining Text-to-Image Generation: Towards Accurate Training-Free Glyph-Enhanced Image Generation

arXiv:2403.16422v1 Announce Type: new
Abstract: Over the past few years, Text-to-Image (T2I) generation approaches based on diffusion models have gained significant attention. However, vanilla diffusion models often suffer from spelling inaccuracies in the text displayed within the generated images. The capability to generate visual text is crucial, offering both academic interest and a wide range of practical applications. To produce accurate visual text images, state-of-the-art techniques adopt a glyph-controlled image generation approach, consisting of a text layout generator followed by …

abstract academic arxiv attention capability cs.ai cs.cv diffusion diffusion models free generate generated however image image generation images text text-to-image training type visual