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NIR-Assisted Image Denoising: A Selective Fusion Approach and A Real-World Benchmark Dataset

NIR-Assisted Image Denoising: A Selective Fusion Approach and A Real-World Benchmark Dataset

12 April 2024
Rongjian Xu
Zhilu Zhang
Ren-Rong Wu
Wangmeng Zuo
ArXivPDFHTML

Papers citing "NIR-Assisted Image Denoising: A Selective Fusion Approach and A Real-World Benchmark Dataset"

5 / 5 papers shown
Title
Near-infrared Image Deblurring and Event Denoising with Synergistic Neuromorphic Imaging
Chao Qu
Shuo Zhu
Yuhang Wang
Zongze Wu
Xiaoyu Chen
E. Lam
Jing Han
63
0
0
03 Mar 2025
Complementary Advantages: Exploiting Cross-Field Frequency Correlation for NIR-Assisted Image Denoising
Complementary Advantages: Exploiting Cross-Field Frequency Correlation for NIR-Assisted Image Denoising
Y. Wang
Hongyuan Wang
Lizhi Wang
X. Wang
Lin Zhu
Wanxuan Lu
Hua Huang
78
1
0
21 Dec 2024
Multi-Stage Progressive Image Restoration
Multi-Stage Progressive Image Restoration
Syed Waqas Zamir
Aditya Arora
Salman Khan
Munawar Hayat
F. Khan
Ming-Hsuan Yang
Ling Shao
114
1,420
0
04 Feb 2021
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
948
20,214
0
17 Apr 2017
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
226
74,467
0
18 May 2015
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