Results 21 to 26 of about 85,820 (26)

Kinetic Typography Diffusion Model [PDF]

open access: yesarXiv
This paper introduces a method for realistic kinetic typography that generates user-preferred animatable 'text content'. We draw on recent advances in guided video diffusion models to achieve visually-pleasing text appearances. To do this, we first construct a kinetic typography dataset, comprising about 600K videos.
arxiv  

WordArt Designer API: User-Driven Artistic Typography Synthesis with Large Language Models on ModelScope [PDF]

open access: yesarXiv
This paper introduces the WordArt Designer API, a novel framework for user-driven artistic typography synthesis utilizing Large Language Models (LLMs) on ModelScope. We address the challenge of simplifying artistic typography for non-professionals by offering a dynamic, adaptive, and computationally efficient alternative to traditional rigid templates.
arxiv  

FonTS: Text Rendering with Typography and Style Controls [PDF]

open access: yesarXiv
Visual text rendering are widespread in various real-world applications, requiring careful font selection and typographic choices. Recent progress in diffusion transformer (DiT)-based text-to-image (T2I) models show promise in automating these processes.
arxiv  

Khattat: Enhancing Readability and Concept Representation of Semantic Typography [PDF]

open access: yesarXiv
Designing expressive typography that visually conveys a word's meaning while maintaining readability is a complex task, known as semantic typography. It involves selecting an idea, choosing an appropriate font, and balancing creativity with legibility. We introduce an end-to-end system that automates this process.
arxiv  

ABHINAW: A method for Automatic Evaluation of Typography within AI-Generated Images [PDF]

open access: yesarXiv
In the fast-evolving field of Generative AI, platforms like MidJourney, DALL-E, and Stable Diffusion have transformed Text-to-Image (T2I) Generation. However, despite their impressive ability to create high-quality images, they often struggle to generate accurate text within these images.
arxiv  

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