most citedUniTabNet: Bridging Vision and Language Models for Enhanced Table Structure Recognition

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cs.CV2025

From Structure to Detail: Hierarchical Distillation for Efficient Diffusion Model

Hanbo Cheng, Peng Wang, Kaixiang Lei +4

The inference latency of diffusion models remains a critical barrier to their real-time application. While trajectory-based and distribution-based step distillation methods offer s…

cs.CV2025

Skeleton and Font Generation Network for Zero-shot Chinese Character Generation

Mobai Xue, Jun Du, Zhenrong Zhang +5

Automatic font generation remains a challenging research issue, primarily due to the vast number of Chinese characters, each with unique and intricate structures. Our investigation…

cs.CV2024

RFL: Simplifying Chemical Structure Recognition with Ring-Free Language

Qikai Chang, Mingjun Chen, Changpeng Pi +6

The primary objective of Optical Chemical Structure Recognition is to identify chemical structure images into corresponding markup sequences. However, the complex two-dimensional s…

cs.CV2024

DAWN: Dynamic Frame Avatar with Non-autoregressive Diffusion Framework for Talking Head Video Generation

Hanbo Cheng, Limin Lin, Chenyu Liu +5

Talking head generation intends to produce vivid and realistic talking head videos from a single portrait and speech audio clip. Although significant progress has been made in diff…

cs.CV20241 cited

UniTabNet: Bridging Vision and Language Models for Enhanced Table Structure Recognition

Zhenrong Zhang, Shuhang Liu, Pengfei Hu +4

In the digital era, table structure recognition technology is a critical tool for processing and analyzing large volumes of tabular data. Previous methods primarily focus on visual…

cs.CV2024

See then Tell: Enhancing Key Information Extraction with Vision Grounding

Shuhang Liu, Zhenrong Zhang, Pengfei Hu +5

In the digital era, the ability to understand visually rich documents that integrate text, complex layouts, and imagery is critical. Traditional Key Information Extraction (KIE) me…