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
- Light field imaging for computer vision: a survey (2022)
- Review of light field technologies (2021)
- A survey for light field super-resolution (2024)
- Advances in Light Field Spatial Super-Resolution: A Comprehensive Literature Survey (2025)
- Light Field Super-Resolution: A Critical Review on Challenges and Opportunities (2025)
- HCI 4D Light Field Benchmark — synthetic 9×9 light fields with ground-truth disparity, the standard depth estimation benchmark
- Stanford Light Field Archive (Lytro 2016) — several hundred Lytro Illum captures in various categories
- EPFL MMSPG Light-Field Image Dataset — Lytro Illum dataset with depth maps
- UrbanLF — urban scene light fields for semantic segmentation (2022)
- 4DLFVD: 4D Light Field Video Dataset — light field video captured with a camera matrix
- Sintel 4D Light Field Videos — synthetic light field videos with ground-truth depth
- DDFF-12 — light field dataset and toolbox for depth from focus (2017)
| 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 | ||
| OccCasNet: Occlusion-aware Cascade Cost Volume for Light Field Depth Estimation | 2023 | TensorFlow | https://github.com/chaowentao/OccCasNet |
| 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/ | ||
| OPAL: Occlusion Pattern Aware Loss for Unsupervised Light Field Disparity Estimation | 2023 | PyTorch | https://github.com/pengHTYX/OPAL |
| Robust Depth Estimation for Light Field via Spinning Parallelogram Operator | https://github.com/shuozh/Spinning-Parallelogram-Operator | ||
| SubFocal: Learning Sub-Pixel Disparity Distribution for Light Field Depth Estimation | 2023 | TensorFlow | https://github.com/chaowentao/SubFocal |
| 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 | ||
| Pipeline for Noise Generation and Denoising of Light Fields (wavelet, BM3D, LFBM5D, DnCNN, LFDnPatch) | 2023 | C++ | https://github.com/mmspg/Light-Field-Denoising |
| Robust Dense Light Field Reconstruction from Sparse Noisy Sampling | 2021 | https://github.com/sunshineHDU/NoisyLFRecon |
| Title | Year | Framework | Link |
|---|---|---|---|
| DistgASR: Disentangling Mechanism for Light Field Angular Super-Resolution | 2022 | PyTorch | https://github.com/YingqianWang/DistgASR |
| 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 | ||
| Real-Time Light Field Video Focusing and GPU Accelerated Streaming | https://github.com/dormon/3DApps/blob/master/src/lightfieldPlayer.cpp | ||
| Lightweight All-Focused Light Field Rendering | https://www.fit.vutbr.cz/~ichlubna/lf | ||
| Efficient Random-Access GPU Video Decoding for Light-Field Rendering | https://github.com/ichlubna/lfEncoding |
| Title | Year | Framework | Link |
|---|---|---|---|
| DistgSSR: Disentangling Mechanism for Light Field Statial Super-Resolution | https://github.com/YingqianWang/DistgSSR | ||
| DistgEPIT: Enhanced Disparity Learning for Light Field Image Super-Resolution (NTIRE 2023 solution) | 2023 | PyTorch | https://github.com/OpenMeow/NTIRE23_LFSR_DistgEPIT |
| DPT: Detail-Preserving Transformer for Light Field Image Super-Resolution | 2022 | PyTorch | https://github.com/BITszwang/DPT |
| EPIT: Learning Non-Local Spatial-Angular Correlation for Light Field Image Super-Resolution | 2023 | PyTorch | https://github.com/ZhengyuLiang24/EPIT |
| Graph-Based Light Field Super-Resolution | https://github.com/rossimattia/light-field-super-resolution | ||
| LF-DET: Exploiting Spatial and Angular Correlations With Deep Efficient Transformers for Light Field Image Super-Resolution | 2023 | PyTorch | https://github.com/Congrx/LF-DET |
| LF-DGT: Multi-level Disparity-Guided Transformers for Light Field Spatial Super-Resolution | 2025 | PyTorch | https://github.com/YigengLiao/LF-DGT |
| LF-DMnet: Real-World Light Field Image Super-Resolution via Degradation Modulation | 2024 | PyTorch | https://github.com/YingqianWang/LF-DMnet |
| LFMamba: Light Field Image Super-Resolution with State Space Model | 2024 | PyTorch | https://github.com/stanley-313/LFMamba |
| LFMT: Exploring Non-Local Spatial-Angular Correlations with a Hybrid Mamba-Transformer Framework for Light Field Super-Resolution | 2025 | PyTorch | https://github.com/hsliu01/LFMT |
| LFSRDiff: Light Field Image Super-Resolution via Diffusion Models | 2023 | PyTorch | https://github.com/chaowentao/LFSRDiff |
| LFT: Light Field Image Super-Resolution with Transformers | 2022 | PyTorch | https://github.com/ZhengyuLiang24/LFT |
| LFTransMamba: NTIRE 2025 Light Field Super-Resolution Challenge Solution | 2025 | PyTorch | https://github.com/OpenMeow/LFTransMamba |
| 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 | ||
| Light Field Spatial Super-resolution Using Deep Efficient Spatial-Angular Separable Convolution | https://github.com/jingjin25/LFSSR-SAS-PyTorch |
| Title | Year | Framework | Link |
|---|---|---|---|
| DRBNet: Learning to Deblur using Light Field Generated and Real Defocus Images | 2022 | PyTorch | https://github.com/lingyanruan/DRBNet |
| Light Field Blind Motion Deblurring | 2017 | TensorFlow | https://github.com/pratulsrinivasan/Light_Field_Blind_Motion_Deblurring |
| Light Field Salient Object Detection: A Review and Benchmark | 2021 | https://github.com/kerenfu/LFSOD-Survey | |
| OAFuser: Towards Omni-Aperture Fusion for Light Field Semantic Segmentation | 2023 | PyTorch | https://github.com/FeiBryantkit/OAFuser |
| Style Transfer for Light Field Photography | 2020 | https://github.com/davidmhart/LightFieldStyleTransfer | |
| VCD-Net: Real-time volumetric reconstruction of biological dynamics with light-field microscopy | 2021 | TensorFlow | https://github.com/feilab-hust/VCD-Net |
| Title | Year | Framework | Link |
|---|---|---|---|
| Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering | 2021 | PyTorch | https://github.com/vsitzmann/light-field-networks |
| Light Field Neural Rendering | 2022 | JAX | https://github.com/google-research/google-research/tree/master/light_field_neural_rendering |
| MobileR2L: Real-Time Neural Light Fields on Mobile Devices | 2023 | PyTorch | https://github.com/snap-research/MobileR2L |
| NeuLF: Efficient Novel View Synthesis with Neural 4D Light Field | 2022 | PyTorch | https://github.com/oppo-us-research/NeuLF |
| R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis | 2022 | PyTorch | https://github.com/snap-research/R2L |
- BasicLFSR: PyTorch benchmark toolbox for light field super-resolution
- CocoLib
- LiFF: Light field features in scale and depth
- Light Field Toolbox for MATLAB
- LFIT: Light-Field Imaging Toolkit
- Modified Baseline for Light Field Stitching
- plenpy: Python library for light field and hyperspectral processing
- PlenoptiCam
- Plenoptic Toolbox 2.0
- JPEG Pleno Light Field — ISO/IEC 21794 light field coding standard
- MPEG Immersive Video (MIV) — multiview and light field compression standard for immersive video
- SADN: Spatial-Angular Decorrelated Network for learned light field compression (2022)
- Raytrix — industrial 3D light field cameras
- Lytro Archive — software, firmware and resources for discontinued Lytro cameras
- K|Lens One — light field lens for standard cameras
- Looking Glass Factory — glasses-free light field displays
- Leia / Immersity AI — light field displays and 2D-to-3D conversion
- NTIRE 2023 Light Field Image Super-Resolution Challenge — first NTIRE light field challenge, report (CVPR 2023 workshop)
- NTIRE 2024 Light Field Image Super-Resolution Challenge — challenge page
- NTIRE 2025 Light Field Image Super-Resolution Challenge — challenge report
- LFNAT @ CVPR 2023 — workshop on light fields for computer vision
- Yingqian Wang (NUDT) — light field super-resolution and disparity estimation, NTIRE LF challenge organizer
- Fujii Lab, Nagoya University — light field acquisition, coded aperture, neural representations
- V-SENSE, Trinity College Dublin — light field imaging for AR/VR and creative technologies
- KAIST Visual Computing Lab — light field displays and radiance field rendering
- LightField Forum - Light Field and Computational Imaging News
- LF-Image-SR — paper list on light field image super-resolution
- awesome-light-fields — curated light field resources on capture, rendering and processing
- awesome-light-field-processing — light field synthesis and reconstruction papers
- lightfield-analysis resources — datasets and tools accompanying the HCI benchmark