Generative AI (GenAI) has witnessed remarkable progress in recent years and
demonstrated impressive performance in various generation tasks in different domains such …

The diffusion model has been proven a powerful generative model in recent years, yet it
remains a challenge in generating visual text. Although existing work has endeavored to …

Recently text-guided scalable vector graphics (SVGs) synthesis has shown promise in
domains such as iconography and sketch. However existing text-to-SVG generation …

The automatic reading of text-intensive images represents a significant advancement toward
achieving Artificial General Intelligence (AGI). In this paper we present KOSMOS-2.5, a …

Despite the success achieved by existing image generation and editing methods, current
models still struggle with complex problems including intricate text prompts, and the …

Recent progress in large-scale pre-training has led to the development of advanced vision-
language models (VLMs) with remarkable proficiency in comprehending and generating …

Artistic text generation aims to amplify the aesthetic qualities of text while maintaining
readability. It can make the text more attractive and better convey its expression, thus …

We present AutoDIR, an innovative all-in-one image restoration system incorporating latent
diffusion. AutoDIR excels in its ability to automatically identify and restore images suffering …

Scene text images contain not only style information (font background) but also content
information (character texture). Different scene text tasks need different information but …

Visual text rendering poses a fundamental challenge for contemporary text-to-image
generation models, with the core problem lying in text encoder deficiencies. To achieve …