A curated list of awesome light field resources
Light field is a scene representation, described as a set of light rays in captured space, created by shifted full-size or micro-lenses
- Gershun, The Light Field — first theorhetical description of a light field
- Bolles et al., Epipolar-plane image analysis: An approach to determining structure from motion — first appearance and theory of epipolar-plane images, the important structure for light field analysis
- Adelson and Bergen, The Plenoptic Function and the Elements of Early Vision — light field reformulation in a more convenient way
- Levoy and Hanrahan, Light Field Rendering — two-plane parameterization of light field
- Ng et al., Light Field Photography with a Hand-held Plenoptic Camera — description of a first plenoptic camera
| Title | Year | Framework | Link |
|---|---|---|---|
| 3D Convolutional Neural Network for Light Field Depth Estimation | https://github.com/catdance124/3Dconv_LF_depth_estimation | ||
| Deep Coarse-to-fine Dense Light Field Reconstruction with Flexible Sampling and Geometry-aware Fusion | https://github.com/jingjin25/LFASR-FS-GAF | ||
| Depth Estimation from 4D Light Field Videos | https://github.com/mediaeng-lfv/LFV_Disparity_Estimation | ||
| Depth from Combining Defocus and Correspondence Using Light-Field Cameras | https://github.com/Vincentqyw/depth-from-defocus-and-correspondence | ||
| Depthy | https://github.com/hahnec/depthy | ||
| DistgDisp: Disentangling Mechanism for Light Field Disparity Estimation | https://github.com/YingqianWang/DistgDisp | ||
| EPINET: A Fully-Convolutional Neural Network using Epipolar Geometry for Depth from Light Field Images | https://github.com/chshin10/epinet | ||
| Efficient Light Field Reconstruction via Spatio-Angular Dense Network | https://github.com/huzexi/SADenseNet | ||
| Empirical Bayesian Light-Field Stereo Matching by Robust Pseudo Random Field Modeling | https://www.ee.nthu.edu.tw/chaotsung/rprf/index.html | ||
| Fast Light-field Disparity Estimation with Multi-disparity-scale Cost Aggregation | https://github.com/zcong17huang/FastLFnet | ||
| High-Dimensional Dense Residual Convolutional Neural Network for Light Field Reconstruction | https://github.com/monaen/LightFieldReconstruction | ||
| Intrinsic Light Field Decomposition and Disparity Estimation with a Deep Encoder-Decoder Network | https://github.com/cvia-kn/lf_autoencoder_cvpr2018_code | ||
| Learning Sheared EPI Structure for Light Field Reconstruction | https://github.com/GaochangWu/Sheared-EPI | ||
| Learning to Think Outside the Box: Wide-Baseline Light Field Depth Estimation with EPI-Shift | https://github.com/titus-leistner/epi-shift | ||
| LFattNet: Attention-based View Selection Networks for Light-field Disparity Estimation | https://github.com/LIAGM/LFattNet | ||
| MANet: Multi-scale Aggregated Network For Light Field Depth Estimation | https://github.com/YanWQ/MANet | ||
| Occlusion-Aware Cost Constructor for Light Field Depth Estimation | https://github.com/YingqianWang/OACC-Net | ||
| On Linear Structure from Motion for Light Field Cameras | https://publications.lightfield-analysis.net/ | ||
| Robust Depth Estimation for Light Field via Spinning Parallelogram Operator | https://github.com/shuozh/Spinning-Parallelogram-Operator | ||
| Unsupervised disparity estimation from light field using plug-and-play weighted warping loss | https://www.fujii.nuee.nagoya-u.ac.jp/Research/LFDepth/ | ||
| Variational light field analysis for disparity estimation and super-resolution | https://github.com/GilbertRC/Light-Field-Structure-Tensor-Depth-Estimation |
| Title | Year | Framework | Link |
|---|---|---|---|
| Light Field Denoising by Sparse 5D Transform Domain Collaborative Filtering | https://github.com/V-Sense/LFBM5D |
| Title | Year | Framework | Link |
|---|---|---|---|
| Learning to Synthesize a 4D RGBD Light Field from a Single Image | https://github.com/pratulsrinivasan/Local_Light_Field_Synthesis | ||
| Local Light Field Fusion | https://github.com/Fyusion/LLFF | ||
| Multi-Angular Epipolar Geometry Based Light Field Angular Reconstruction Network | https://github.com/ldyorchid/Multi_Angular_Epipolar_Geometry_Based_Light_Field_Angular_Reconstruction_Network |
| Title | Year | Framework | Link |
|---|---|---|---|
| DistgSSR: Disentangling Mechanism for Light Field Statial Super-Resolution | https://github.com/YingqianWang/DistgSSR | ||
| Graph-Based Light Field Super-Resolution | https://github.com/rossimattia/light-field-super-resolution | ||
| Light Field Spatial Super-resolution via Deep Combinatorial Geometry Embedding and Structural Consistency Regularization | https://github.com/jingjin25/LFSSR-ATO | ||
| Light Field Super-Resolution By Jointly Exploiting Internal and External Similarities | https://github.com/Joechann0831/LFSR-FusNet | ||
| Residual Networks for Light Field Image Super-Resolution | https://github.com/wxywhu/demo-resLF | ||
| Spatial-Angular Interaction for Light Field Image Super-Resolution | https://github.com/YingqianWang/LF-InterNet |