ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1812.10532
  4. Cited By
A Unified Learning Based Framework for Light Field Reconstruction from
  Coded Projections
v1v2 (latest)

A Unified Learning Based Framework for Light Field Reconstruction from Coded Projections

26 December 2018
Anil Kumar Vadathya
Sharath Girish
Kaushik Mitra
ArXiv (abs)PDFHTML

Papers citing "A Unified Learning Based Framework for Light Field Reconstruction from Coded Projections"

14 / 14 papers shown
Title
EPINET: A Fully-Convolutional Neural Network Using Epipolar Geometry for
  Depth from Light Field Images
EPINET: A Fully-Convolutional Neural Network Using Epipolar Geometry for Depth from Light Field Images
Changha Shin
Hae-Gon Jeon
Youngjin Yoon
In So Kweon
Seon Joo Kim
MDE
71
246
0
06 Apr 2018
Fast and Accurate Reconstruction of Compressed Color Light Field
Fast and Accurate Reconstruction of Compressed Color Light Field
Ofir Nabati
D. Mendlovic
Raja Giryes
38
23
0
31 Jan 2018
Learning Light Field Reconstruction from a Single Coded Image
Learning Light Field Reconstruction from a Single Coded Image
Anil Kumar Vadathya
Saikiran Cholleti
Gautham Ramajayam
Vijayalakshmi Kanchana
Kaushik Mitra
3DV
30
13
0
20 Jan 2018
Aperture Supervision for Monocular Depth Estimation
Aperture Supervision for Monocular Depth Estimation
Pratul P. Srinivasan
Rahul Garg
Neal Wadhwa
Ren Ng
Jonathan T. Barron
MDE
70
58
0
21 Nov 2017
Learning to Synthesize a 4D RGBD Light Field from a Single Image
Learning to Synthesize a 4D RGBD Light Field from a Single Image
Pratul P. Srinivasan
Tongzhou Wang
Ashwin Sreelal
R. Ramamoorthi
Ren Ng
3DV
63
239
0
10 Aug 2017
Spatial and Angular Resolution Enhancement of Light Fields Using
  Convolutional Neural Networks
Spatial and Angular Resolution Enhancement of Light Fields Using Convolutional Neural Networks
M. K. Gul
B. Gunturk
44
81
0
04 Jul 2017
A Unified Approach of Multi-scale Deep and Hand-crafted Features for
  Defocus Estimation
A Unified Approach of Multi-scale Deep and Hand-crafted Features for Defocus Estimation
Jinsun Park
Yu-Wing Tai
Donghyeon Cho
In So Kweon
3DV
48
116
0
28 Apr 2017
Unsupervised Monocular Depth Estimation with Left-Right Consistency
Unsupervised Monocular Depth Estimation with Left-Right Consistency
Clément Godard
Oisin Mac Aodha
Gabriel J. Brostow
MDE
150
2,888
0
13 Sep 2016
Learning-Based View Synthesis for Light Field Cameras
Learning-Based View Synthesis for Light Field Cameras
N. Kalantari
Tingxian Wang
R. Ramamoorthi
3DV
141
683
0
09 Sep 2016
Unsupervised CNN for Single View Depth Estimation: Geometry to the
  Rescue
Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue
Ravi Garg
B. V. Kumar
G. Carneiro
Ian Reid
3DVMDE
121
1,530
0
16 Mar 2016
Multi-Scale Context Aggregation by Dilated Convolutions
Multi-Scale Context Aggregation by Dilated Convolutions
Feng Yu
V. Koltun
SSeg
271
8,459
0
23 Nov 2015
DeepStereo: Learning to Predict New Views from the World's Imagery
DeepStereo: Learning to Predict New Views from the World's Imagery
John Flynn
Ivan Neulander
James Philbin
Noah Snavely
3DV
120
652
0
22 Jun 2015
Partial light field tomographic reconstruction from a fixed-camera focal
  stack
Partial light field tomographic reconstruction from a fixed-camera focal stack
Antoine Mousnier
Elif Vural
C. Guillemot
62
70
0
06 Mar 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,364
0
22 Dec 2014
1