5 papers · 1 filter
DocDeshadower: Frequency-Aware Transformer for Document Shadow Removal
Ziyang Zhou, Yingtie Lei, Xuhang Chen +4
Shadows in scanned documents pose significant challenges for document analysis and recognition tasks due to their negative impact on visual quality and readability. Current shadow…
High-Resolution Document Shadow Removal via A Large-Scale Real-World Dataset and A Frequency-Aware Shadow Erasing Net
Zinuo Li, Xuhang Chen, Chi-Man Pun +1
Shadows often occur when we capture the documents with casual equipment, which influences the visual quality and readability of the digital copies. Different from the algorithms fo…
Brain Imaging-to-Graph Generation using Adversarial Hierarchical Diffusion Models for MCI Causality Analysis
Qiankun Zuo, Hao Tian, Chi-Man Pun +3
Effective connectivity can describe the causal patterns among brain regions. These patterns have the potential to reveal the pathological mechanism and promote early diagnosis and…
UWFormer: Underwater Image Enhancement via a Semi-Supervised Multi-Scale Transformer
Weiwen Chen, Yingtie Lei, Shenghong Luo +3
Underwater images often exhibit poor quality, distorted color balance and low contrast due to the complex and intricate interplay of light, water, and objects. Despite the signific…
ShaDocFormer: A Shadow-Attentive Threshold Detector With Cascaded Fusion Refiner for Document Shadow Removal
Weiwen Chen, Yingtie Lei, Shenghong Luo +3
Document shadow is a common issue that arises when capturing documents using mobile devices, which significantly impacts readability. Current methods encounter various challenges,…