activity
20242026
most citedVisual Text Meets Low-level Vision: A Comprehensive Survey on Visual Text Processing

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2026

SlerpFlow: Spherical Trajectory Correction for Rectified Flow Inversion

Wenbin Duan, Yan Shu, Zhuoyuan Fu +4

Rectified-flow-based diffusion transformers, particularly FLUX, have demonstrated outstanding performance in high-quality image generation. However, achieving fast and accurate inv…

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.CV2025

TADoc: Robust Time-Aware Document Image Dewarping

Fangmin Zhao, Weichao Zeng, Zhenhang Li +2

Flattening curved, wrinkled, and rotated document images captured by portable photographing devices, termed document image dewarping, has become an increasingly important task with…

cs.CV2025

Uni-DocDiff: A Unified Document Restoration Model Based on Diffusion

Fangmin Zhao, Weichao Zeng, Zhenhang Li +4

Removing various degradations from damaged documents greatly benefits digitization, downstream document analysis, and readability. Previous methods often treat each restoration tas…

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★ 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…