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From the 1 of 6 linked papers with an AI index.

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6 papers

cs.CV2026

JieZi: A Large-Scale Expert-Audited Dataset and Benchmark for Ancient Chinese Character Exegesis

Ran Li, Huiguo He, Jiahuan Cao +3

The scholarly exegesis of ancient Chinese characters demands integrating visual observation, linguistic analysis, and historical context. However, existing computational approaches…

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TongGuOCR: A Layout-Aware and Token-Augmented OCR MLLM for Chinese Historical Documents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Chinese historical documents preserve valuable cultural heritage, but many collections remain accessible only as scanned page images, preventing full-text retrieval, collation, and…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

DiffMath: Symbol- and Graph-Aware Latent Diffusion Transformer for Handwritten Mathematical Expression Generation

Wei Pan, Xuhan Zheng, Yilin Shi +5

Handwritten Mathematical Expression Generation (HMEG) is challenging due to the complex two-dimensional layouts and long-range structural dependencies of mathematical expressions.…

cs.CV2026

ContextDrag: Precise Drag-Based Image Editing via Context-Preserving Token Injection and Position-Aligned Attention

Huiguo He, Pengyu Yan, Ziqi Yi +6

Drag-based image editing enables intuitive visual manipulation through point-based drag operations. Existing methods mainly rely on diffusion inversion or pixel-space warping with…

cs.CV2026

DiffInk: Glyph- and Style-Aware Latent Diffusion Transformer for Text to Online Handwriting Generation

Wei Pan, Huiguo He, Hiuyi Cheng +2

Deep generative models have advanced text-to-online handwriting generation (TOHG), which aims to synthesize realistic pen trajectories conditioned on textual input and style refere…