Light-field imaging application for plenoptic cameras
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Updated
Mar 20, 2024 - Python
Light-field imaging application for plenoptic cameras
[CVPR Oral 2022] PyTorch Implementation for "Learning to Deblur using Light Field Generated and Real Defocused Images"
Repository for "Light Field Spatial Super-resolution via Deep Combinatorial Geometry Embedding and Structural Consistency Regularization" , CVPR 2020
depth map computation
Official repository for "Depth estimation from 4D light field videos", IWAIT 2021
(TCI 2023) Learning Sub-Pixel Disparity Distribution for Light Field Depth Estimation
Tools for Optical Simulations
unofficial implementation(using keras) of (Fauluvégi, Ágota, et al. "A 3D Convolutional Neural Network for Light Field Depth Estimation." 2019 International Conference on 3D Immersion (IC3D). IEEE, 2019.)
Repository for "Deep Coarse-to-fine Dense Light Field Reconstruction with Flexible Sampling and Geometry-aware Fusion", IEEE TPAMI 2020
"Efficient Light Field Reconstruction via Spatio-Angular Dense Network" in TIM 2021
Plenoptic imaging reconstruction tools
Official implementation of CycleST with TensorFlow 2.x.
Tool to provide preview of large light-field images. Includes a web application to view the output.
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