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TextCenGen: Attention-Guided Text-Centric Background Adaptation for Text-to-Image Generation
April 19, 2024, 4:44 a.m. | Tianyi Liang, Jiangqi Liu, Sicheng Song, Shiqi Jiang, Yifei Huang, Changbo Wang, Chenhui Li
cs.CV updates on arXiv.org arxiv.org
Abstract: Recent advancements in Text-to-image (T2I) generation have witnessed a shift from adapting text to fixed backgrounds to creating images around text. Traditional approaches are often limited to generate layouts within static images for effective text placement. Our proposed approach, TextCenGen, introduces a dynamic adaptation of the blank region for text-friendly image generation, emphasizing text-centric design and visual harmony generation. Our method employs force-directed attention guidance in T2I models to generate images that strategically reserve whitespace …
abstract arxiv attention cs.cv dynamic generate image image generation images placement shift text text-to-image type
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