5 papers
LongDocBench: Benchmarking TOC Hierarchy and Contextual Relationship Recovery in Long Documents
Yuefeng Zou, Yichen Lu, Jingxiao Yang +5
Parsing visual documents into machine-readable representations is fundamental to document intelligence. Existing benchmarks focus on page-level element recognition, reading order,…
LingDT-VL-OCR: Structure-Aware Document-Level Parsing with Fine-Grained Visual Reference
Siyi Qian, Xiongfei Bai, Bingtao Fu +4
In this paper, we propose LingDT-VL-OCR, a document parsing system tailored to financial-domain documents, transforming ultra-long financial PDFs into semantically consistent, high…
AuthFace: Towards Authentic Blind Face Restoration with Face-oriented Generative Diffusion Prior
Guoqiang Liang, Qingnan Fan, Bingtao Fu +3
Blind face restoration (BFR) is a fundamental and challenging problem in computer vision. To faithfully restore high-quality (HQ) photos from poor-quality ones, recent research end…
OMGSR: You Only Need One Mid-timestep Guidance for Real-World Image Super-Resolution
Zhiqiang Wu, Zhaomang Sun, Tong Zhou +7
Denoising Diffusion Probabilistic Models (DDPMs) show promising potential in one-step Real-World Image Super-Resolution (Real-ISR). Current one-step Real-ISR methods typically inje…
CoMPaSS: Enhancing Spatial Understanding in Text-to-Image Diffusion Models
Gaoyang Zhang, Bingtao Fu, Qingnan Fan +5
Text-to-image (T2I) diffusion models excel at generating photorealistic images but often fail to render accurate spatial relationships. We identify two core issues underlying this…