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20232026
most citedHierCode: A Lightweight Hierarchical Codebook for Zero-shot Chinese Text Recognition

18 citations · 39 across the 16 of their papers we have counts for

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11 papers · 1 filter

cs.CV2026

Ancient-Bench: A Comprehensive Multi-millennial, Multi-medium, and Multi-script Benchmark for Ancient Chinese Artifact Text Recognition

Hiuyi Cheng, Nuo Xu, Yuyi Zhang +9

Ancient Chinese artifact text recognition is fundamental to heritage digitization, and benchmarks for ancient texts are essential for evaluating current model capabilities. However…

cs.CV2025

Reviving Cultural Heritage: A Novel Approach for Comprehensive Historical Document Restoration

Yuyi Zhang, Peirong Zhang, Zhenhua Yang +5

Historical documents represent an invaluable cultural heritage, yet have undergone significant degradation over time through tears, water erosion, and oxidation. Existing Historica…

cs.CV2025

RedundancyLens: Revealing and Exploiting Visual Token Processing Redundancy for Efficient Decoder-Only MLLMs

Hongliang Li, Jiaxin Zhang, Wenhui Liao +3

Current Multimodal Large Language Model (MLLM) architectures face a critical tradeoff between performance and efficiency: decoder-only architectures achieve higher performance but…

cs.CV2024

Predicting the Original Appearance of Damaged Historical Documents

Zhenhua Yang, Dezhi Peng, Yongxin Shi +3

Historical documents encompass a wealth of cultural treasures but suffer from severe damages including character missing, paper damage, and ink erosion over time. However, existing…

cs.CV2024★ 1 cited

Revisiting Tampered Scene Text Detection in the Era of Generative AI

Chenfan Qu, Yiwu Zhong, Fengjun Guo +1

The rapid advancements of generative AI have fueled the potential of generative text image editing, meanwhile escalating the threat of misinformation spreading. However, existing f…

cs.CV2024★ 2 cited

DocRes: A Generalist Model Toward Unifying Document Image Restoration Tasks

Jiaxin Zhang, Dezhi Peng, Chongyu Liu +2

Document image restoration is a crucial aspect of Document AI systems, as the quality of document images significantly influences the overall performance. Prevailing methods addres…

cs.CV2024★ 18 cited

HierCode: A Lightweight Hierarchical Codebook for Zero-shot Chinese Text Recognition

Yuyi Zhang, Yuanzhi Zhu, Dezhi Peng +5

Text recognition, especially for complex scripts like Chinese, faces unique challenges due to its intricate character structures and vast vocabulary. Traditional one-hot encoding m…

cs.CV2024★ 3 cited

SwinTextSpotter v2: Towards Better Synergy for Scene Text Spotting

Mingxin Huang, Dezhi Peng, Hongliang Li +6

End-to-end scene text spotting, which aims to read the text in natural images, has garnered significant attention in recent years. However, recent state-of-the-art methods usually…

cs.CV2023★ 2 cited

FontDiffuser: One-Shot Font Generation via Denoising Diffusion with Multi-Scale Content Aggregation and Style Contrastive Learning

Zhenhua Yang, Dezhi Peng, Yuxin Kong +3

Automatic font generation is an imitation task, which aims to create a font library that mimics the style of reference images while preserving the content from source images. Altho…

cs.CV2023★ 1 cited

UPOCR: Towards Unified Pixel-Level OCR Interface

Dezhi Peng, Zhenhua Yang, Jiaxin Zhang +5

Existing optical character recognition (OCR) methods rely on task-specific designs with divergent paradigms, architectures, and training strategies, which significantly increases t…

cs.CV2023★ 12 cited

Exploring OCR Capabilities of GPT-4V(ision) : A Quantitative and In-depth Evaluation

Yongxin Shi, Dezhi Peng, Wenhui Liao +5

This paper presents a comprehensive evaluation of the Optical Character Recognition (OCR) capabilities of the recently released GPT-4V(ision), a Large Multimodal Model (LMM). We as…