3 citations · 6 across the 18 of their papers we have counts for
9 papers · 1 filter
Unlocking Complex Visual Generation via Closed-Loop Verified Reasoning
Hanbo Cheng, Limin Lin, Ruo Zhang +2
Despite rapid advancements, current text-to-image (T2I) models predominantly rely on a single-step generation paradigm, which struggles with complex semantics and faces diminishing…
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…
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…
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…
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…
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…
SEMv3: A Fast and Robust Approach to Table Separation Line Detection
Chunxia Qin, Zhenrong Zhang, Pengfei Hu +3
Table structure recognition (TSR) aims to parse the inherent structure of a table from its input image. The `"split-and-merge" paradigm is a pivotal approach to parse table structu…
Bidirectional Trained Tree-Structured Decoder for Handwritten Mathematical Expression Recognition
Hanbo Cheng, Chenyu Liu, Pengfei Hu +3
The Handwritten Mathematical Expression Recognition (HMER) task is a critical branch in the field of OCR. Recent studies have demonstrated that incorporating bidirectional context…
SEMv2: Table Separation Line Detection Based on Instance Segmentation
Zhenrong Zhang, Pengfei Hu, Jiefeng Ma +6
Table structure recognition is an indispensable element for enabling machines to comprehend tables. Its primary purpose is to identify the internal structure of a table. Neverthele…