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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

15 June 2023
Xianqiang Lyu
Junhui Hou
ArXivPDFHTML

Papers citing "Probabilistic-based Feature Embedding of 4-D Light Fields for Compressive Imaging and Denoising"

5 / 5 papers shown
Title
Enhancing Underwater Imaging with 4-D Light Fields: Dataset and Method
Enhancing Underwater Imaging with 4-D Light Fields: Dataset and Method
Yuji Lin
Xianqiang Lyu
Junhui Hou
Qian Zhao
Deyu Meng
34
0
0
30 Aug 2024
RainyScape: Unsupervised Rainy Scene Reconstruction using Decoupled
  Neural Rendering
RainyScape: Unsupervised Rainy Scene Reconstruction using Decoupled Neural Rendering
Xianqiang Lyu
Hui Liu
Junhui Hou
26
1
0
17 Apr 2024
Disentangling Light Fields for Super-Resolution and Disparity Estimation
Disentangling Light Fields for Super-Resolution and Disparity Estimation
Yingqian Wang
Longguang Wang
Gaochang Wu
Jungang Yang
Wei An
Jingyi Yu
Yulan Guo
28
191
0
22 Feb 2022
Harnessing Multi-View Perspective of Light Fields for Low-Light Imaging
Harnessing Multi-View Perspective of Light Fields for Low-Light Imaging
Mohit Lamba
K. K. Rachavarapu
Kaushik Mitra
44
29
0
05 Mar 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,042
0
06 Jun 2015
1