https://github.com/bchao1/awesome-light-field-processing

A curated list of light field synthesis and light field reconstruction papers.

https://github.com/bchao1/awesome-light-field-processing

Science Score: 23.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 2 DOI reference(s) in README
  • Academic publication links
    Links to: arxiv.org, ieee.org, acm.org
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (7.9%) to scientific vocabulary
Last synced: 11 months ago · JSON representation

Repository

A curated list of light field synthesis and light field reconstruction papers.

Basic Info
  • Host: GitHub
  • Owner: bchao1
  • Default Branch: master
  • Size: 4.88 KB
Statistics
  • Stars: 7
  • Watchers: 2
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 5 years ago · Last pushed over 5 years ago
Metadata Files
Readme

README.md

Awesome Light Field Processing

A curated list of light field processing works.

Light field processing here refers to (but is not limited to) the following types of works: - Light field reconstruction / synthesis - Light field spatial super resolution - Light field depth estimation - etc ...

Table of Contents

  • Light field synthesis
  • Light field spatial super-resolution
  • Light field depth estimation
  • Light field compression

Light field synthesis

Learning-based Methods

|Paper|Link|Conference/Journal|Code|Notes| |--|--|--|--|--| |Learning Fused Pixel and Feature-based View Reconstructions for Light Fields|Link|IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020||| |High-dimensional Dense Residual Convolutional Neural Network for Light Field Reconstruction|Link|IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2019||| |4D Temporally Coherent Light Field Video|Link|IEEE International Conference on 3D Vision (3DV) 2017||| |Dense Light Field Reconstruction From Sparse Sampling Using Residual Network|Link|Asian Conference on Computer Vision (ACCV) 2018||| |End-to-end View Synthesis for Light Field Imaging with Pseudo 4DCNN|Link|IEEE European Conference on Computer Vision (ECCV) 2018||| |Fast Light Field Reconstruction With Deep Coarse-To-Fine Modeling of Spatial-Angular Clues|Link|IEEE European Conference on Computer Vision (ECCV) 2018||| |LGFAN: 4D Light Field Synthesis from a Single RGB Image|Link|ACM Transactions on Multimedia Computing, Communications, and Applications 2020||| |Learning to Synthesize a 4D RGBD Light Field from a Single Image|Link|IEEE International Conference on Computer Vision (ICCV) 2017||| |Light Field Reconstruction Using Deep Convolutional Network on EPI|Link|IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017||| |Multi-parallax views synthesis for three- dimensional light-field display using unsupervised CNN|Link|Optics Express 2017||| |Local Light Field Fusion: Practical View Synthesis with Prescriptive Sampling Guidelines|Link|ACM SIGGRAPH 2019||| |Learning-Based View Synthesis for Light Field Cameras|Link|ACM SIGGRAPH Asia 2016|||


Traditional Methods

|Paper|Link|Conference/Journal|Code|Notes| |--|--|--|--|--| |Learning Sheared EPI Structure for Light Field Reconstruction|Link|IEEE Transactions on Image Processing (TIP) 2019||| |Fast: Flow-Assisted Shearlet Transform for Densely-Sampled Light Field Reconstruction|Link|IEEE International Conference on Image Processing (ICIP) 2019||| |Light Field Reconstruction Using Shearlet Transform|Link|IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2018||| |Light Field Reconstruction Using Sparsity in the Continuous Fourier Domain|Link|ACM Transactions on Graphics (ToG) 2014|||

Light field spatial super resolution

Light field depth estimation

|Paper|Link|Conference/Journal|Code|Notes| |--|--|--|--|--| |Unsupervised Monocular Depth Estimation From Light Field Image|Link|IEEE Transactions on Image Processing (TIP) 2020||| |Learning to Think Outside the Box: Wide-Baseline Light Field Depth Estimation with EPI-Shift|Link|IEEE International Conference on 3D Vision (3DV) 2019||| |Unsupervised Depth Estimation from Light Field Using a Convolutional Neural Network|Link|IEEE International Conference on 3D Vision (3DV) 2018|||

Owner

  • Name: Brian Chao
  • Login: bchao1
  • Kind: user
  • Location: Stanford, California
  • Company: Stanford University

Stanford Ph.D. student. Research in computational photography, displays, and computer graphics. Open source enthusiast.

GitHub Events

Total
Last Year

Committers

Last synced: about 1 year ago

All Time
  • Total Commits: 13
  • Total Committers: 1
  • Avg Commits per committer: 13.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
bchao1 w****0@g****m 13

Issues and Pull Requests

Last synced: about 1 year ago

All Time
  • Total issues: 0
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 0
  • Total pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels