FontFusion: Enhancing Generative Text in Diffusion Models with Typographic Conditioning 事件

FontFusion: Enhancing Generative Text in Diffusion Models with Typographic Conditioning arXiv:2606.06066v1 Announce Type: new Abstract: Typography generation in diffusion models faces a persistent trade-off: enabling precise font control typically degrades text legibility, while maintaining readability often sacrifices typographic fidelity. We present FontFusion, a plug-and-play conditioning framework for Diffusion Transformer (DiT) architectures that resolves this dilemma through three core in