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Harnessing Multi-View Perspective of Light Fields for Low-Light Imaging

Harnessing Multi-View Perspective of Light Fields for Low-Light Imaging

5 March 2020
Mohit Lamba
K. K. Rachavarapu
Kaushik Mitra
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Papers citing "Harnessing Multi-View Perspective of Light Fields for Low-Light Imaging"

4 / 4 papers shown
Title
RCNet: Deep Recurrent Collaborative Network for Multi-View Low-Light Image Enhancement
RCNet: Deep Recurrent Collaborative Network for Multi-View Low-Light Image Enhancement
Hao Luo
Baoliang Chen
Lingyu Zhu
Peilin Chen
Shiqi Wang
3DV
49
0
0
06 Sep 2024
Probabilistic-based Feature Embedding of 4-D Light Fields for
  Compressive Imaging and Denoising
Probabilistic-based Feature Embedding of 4-D Light Fields for Compressive Imaging and Denoising
Xianqiang Lyu
Junhui Hou
20
3
0
15 Jun 2023
Learning to See in the Dark
Learning to See in the Dark
Cheng Chen
Qifeng Chen
Jia Xu
V. Koltun
168
1,157
0
04 May 2018
Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi
Jose Caballero
Ferenc Huszár
J. Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
SupR
177
5,138
0
16 Sep 2016
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