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From the 1 of 12 linked papers with an AI index.

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12 papers

cs.AI2026

TongGuOCR: A Layout-Aware and Token-Augmented OCR MLLM for Chinese Historical Documents

Zhongheng Zhou, Yi Sun, Huiguo He +6

Chinese historical documents preserve valuable cultural heritage, but many collections remain accessible only as scanned page images, preventing full-text retrieval, collation, and…

cs.CV2026

One Patch Is Enough: Reinforcement-Optimized Visual Token Grounding for MLLM-Based Scene Text Spotting

Rui Tang, Wentao Yang, Peirong Zhang +4

The paper introduces a vision-centric framework called SPaTS that uses a single visual token per text instance and reinforcement learning to improve scene text spotting accuracy an…

cs.CV2026

OCRGenBench: A Comprehensive Benchmark for Evaluating OCR Generative Capabilities

Peirong Zhang, Haowei Xu, Jiaxin Zhang +7

Improving visual text synthesis has long been a challenging and evolving frontier for image generation models. While recent state-of-the-art (SOTA) models have made remarkable stri…

cs.CV2026

PosterVerse: A Full-Workflow Framework for Commercial-Grade Poster Generation with HTML-Based Scalable Typography

Junle Liu, Peirong Zhang, Yuyi Zhang +5

Commercial-grade poster design demands the seamless integration of aesthetic appeal with precise, informative content delivery. Current automated poster generation systems face sig…

cs.CV2025

Capturing More: Learning Multi-Domain Representations for Robust Online Handwriting Verification

Peirong Zhang, Kai Ding, Lianwen Jin

In this paper, we propose SPECTRUM, a temporal-frequency synergistic model that unlocks the untapped potential of multi-domain representation learning for online handwriting verifi…

cs.CV2025

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach

Peirong Zhang, Lianwen Jin

Currently, the prevalence of online handwriting has spurred a critical need for effective retrieval systems to accurately search relevant handwriting instances from specific writer…