In the rapidly advancing realm of visual generation, diffusion models have revolutionized the
landscape, marking a significant shift in capabilities with their impressive text-guided …

In this work, we consider the typography generation task that aims at producing diverse
typographic styling for the given graphic document. We formulate typography generation as …

With the recent advancement in large language models (LLMs), there is a growing interest in
combining LLMs with multimodal learning. Previous surveys of multimodal large language …

Visual text, a pivotal element in both document and scene images, speaks volumes and
attracts significant attention in the computer vision domain. Beyond visual text detection and …

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 …

Diffusion models have demonstrated exceptional capabilities in generating a broad
spectrum of visual content, yet their proficiency in rendering text is still limited: they often …

Video generation is a challenging yet pivotal task in various industries, such as gaming, e-
commerce, and advertising. One significant unresolved aspect within T2V is the effective …

The rapid advancement of Text-to-Image (T2I) generative models has enabled the synthesis
of high-quality images guided by textual descriptions. Despite this significant progress, these …

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 …

Posters play a crucial role in marketing and advertising, contributing significantly to industrial
design by enhancing visual communication and brand visibility. With recent advances in …