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A Generative Model for Generic Light Field Reconstruction
v1v2 (latest)

A Generative Model for Generic Light Field Reconstruction

13 May 2020
Paramanand Chandramouli
Kanchana Vaishnavi Gandikota
Andreas Görlitz
A. Kolb
Michael Moeller
ArXiv (abs)PDFHTML

Papers citing "A Generative Model for Generic Light Field Reconstruction"

4 / 4 papers shown
Light Field Implicit Representation for Flexible Resolution
  Reconstruction
Light Field Implicit Representation for Flexible Resolution Reconstruction
Paramanand Chandramouli
Hendrik Sommerhoff
A. Kolb
218
4
0
30 Nov 2021
Efficient Light Field Reconstruction via Spatio-Angular Dense Network
Efficient Light Field Reconstruction via Spatio-Angular Dense NetworkIEEE Transactions on Instrumentation and Measurement (IEEE Trans. Instrum. Meas.), 2021
Zexi Hu
H. W. F. Yeung
Xiaoming Chen
Yuk Ying Chung
Haisheng Li
3DV
184
17
0
08 Aug 2021
Regularising Inverse Problems with Generative Machine Learning Models
Regularising Inverse Problems with Generative Machine Learning ModelsJournal of Mathematical Imaging and Vision (JMIV), 2021
Margaret Duff
Neill D. F. Campbell
Matthias Joachim Ehrhardt
GANMedIm
283
49
0
22 Jul 2021
Spectral Reconstruction and Disparity from Spatio-Spectrally Coded Light
  Fields via Multi-Task Deep Learning
Spectral Reconstruction and Disparity from Spatio-Spectrally Coded Light Fields via Multi-Task Deep LearningInternational Conference on 3D Vision (3DV), 2021
Maximilian Schambach
Jiayang Shi
M. Heizmann
199
1
0
18 Mar 2021
1
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