activity
20242026
most citedTextCtrl: Diffusion-based Scene Text Editing with Prior Guidance Control

1 citations · 2 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV2026

Qwen-Image-Bench: From Generation to Creation in Text-to-Image Evaluation

Niantong Li, Guangzheng Hu, Weixu Qiao +35

Text-to-Image generation has evolved from basic image synthesis into a frequently used core capability in professional creative workflows, where simple text-image alignment can no…

cs.CV2026

StyleTextGen: Style-Conditioned Multilingual Scene Text Generation

Zeyu Chen, Fangmin Zhao, Yan Shu +3

Style-conditioned scene text generation faces unique challenges in extracting precise text styles from complex backgrounds and maintaining fine-grained style consistency across cha…

cs.CV2026

Qwen-Image-VAE-2.0 Technical Report

Zekai Zhang, Deqing Li, Kuan Cao +27

We present Qwen-Image-VAE-2.0, a suite of high-compression Variational Autoencoders (VAEs) that achieve significant advances in both reconstruction fidelity and diffusability. To a…

cs.CV2026

Qwen-Image-2.0 Technical Report

Bing Zhao, Chenfei Wu, Deqing Li +72

We present Qwen-Image-2.0, an omni-capable image generation foundation model that unifies high-fidelity generation and precise image editing within a single framework. Despite rece…

cs.CV2025

VidText: Towards Comprehensive Evaluation for Video Text Understanding

Zhoufaran Yang, Yan Shu, Jing Wang +8

Visual texts embedded in videos carry rich semantic information, which is crucial for both holistic video understanding and fine-grained reasoning about local human actions. Howeve…

cs.CV2025

Visual Text Processing: A Comprehensive Review and Unified Evaluation

Yan Shu, Weichao Zeng, Fangmin Zhao +9

Visual text is a crucial component in both document and scene images, conveying rich semantic information and attracting significant attention in the computer vision community. Bey…

cs.CV2024

First Creating Backgrounds Then Rendering Texts: A New Paradigm for Visual Text Blending

Zhenhang Li, Yan Shu, Weichao Zeng +2

Diffusion models, known for their impressive image generation abilities, have played a pivotal role in the rise of visual text generation. Nevertheless, existing visual text genera…

cs.CV2024★ 1 cited

TextCtrl: Diffusion-based Scene Text Editing with Prior Guidance Control

Weichao Zeng, Yan Shu, Zhenhang Li +2

Centred on content modification and style preservation, Scene Text Editing (STE) remains a challenging task despite considerable progress in text-to-image synthesis and text-driven…

cs.CV2024★ 1 cited

Visual Text Meets Low-level Vision: A Comprehensive Survey on Visual Text Processing

Yan Shu, Weichao Zeng, Zhenhang Li +2

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…