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20222026
most citedHigh-Resolution Document Shadow Removal via A Large-Scale Real-World Dataset and A Frequency-Aware Shadow Erasing Net

3 citations · 9 across the 19 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

cs.CV2023★ 2 cited

CLIP Guided Image-perceptive Prompt Learning for Image Enhancement

Weiwen Chen, Qiuhong Ke, Zinuo Li

Image enhancement is a significant research area in the fields of computer vision and image processing. In recent years, many learning-based methods for image enhancement have been…

cs.CV2023

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…

cs.CV2023

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,…

cs.CV2023★ 3 cited

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…

cs.CV2023

Devignet: High-Resolution Vignetting Removal via a Dual Aggregated Fusion Transformer With Adaptive Channel Expansion

Shenghong Luo, Xuhang Chen, Weiwen Chen +3

Vignetting commonly occurs as a degradation in images resulting from factors such as lens design, improper lens hood usage, and limitations in camera sensors. This degradation affe…

cs.CV2023

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…

cs.CV2023

A Large-scale Film Style Dataset for Learning Multi-frequency Driven Film Enhancement

Zinuo Li, Xuhang Chen, Shuqiang Wang +1

Film, a classic image style, is culturally significant to the whole photographic industry since it marks the birth of photography. However, film photography is time-consuming and e…