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depth-estimation-from-a-light-field-image-pair-with-a-generative-model

Light field data rendered for our paper "Depth Estimation from a Light Field Image Pair with a Generative Model"

depth-focal-stack

depth-from-defocus-and-correspondence

Depth from Combining Defocus and Correspondence Using Light-Field Cameras.

derainzoo

DerainZoo for collecting deraining methods, datasets, and codes.

did-mdn

Density-aware Single Image De-raining using a Multi-stream Dense Network (CVPR 2018)

dispnet-flownet-docker

Dockerfile and runscripts for DispNet and FlowNet1 (estimation of disparity and optical flow)

dual-domain-single-image-de-raining-using-conditional-generative-adversarial-networks

edge-connect

EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning. https://arxiv.org/abs/1901.00212

elasticreconstruction

3D reconstruction system to creating detailed scene geometry from range video.

elm-lrf

Local Receptive Fields Based Extreme Learning Machine

enlightengan

[Preprint] "EnlightenGAN: Deep Light Enhancement without Paired Supervision" by Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang

epdn

Enhanced Pix2pix Dehazing Network, accepted by CVPR 2019

epinet

EPINET: A Fully-Convolutional Neural Network using Epipolar Geometry for Depth from Light Field Images

fast-rcnn

Fast R-CNN

fastmaskrcnn

Mask RCNN in TensorFlow

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015.

fcnt

flownet

Modified Version of FlowNet, specifically for adversed environment optical flow

focal_stacker

Tool to generate focal stacks in TIFF format from raw images captured with light field microscopy

foggysynscapes

Semantic Understanding of Foggy Scenes with Purely Synthetic Data

gipuma

Massively Parallel Multiview Stereopsis by Surface Normal Diffusion

h2o-3

Open Source Fast Scalable Machine Learning API For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles...)

id-cgan

Image De-raining Using a Conditional Generative Adversarial Network

l-bfgs-b-c

L-BFGS-B, converted from Fortran to C, with Matlab wrapper

lbfgsb-matlab

A MATLAB interface for L-BFGS-B

learning-to-see-in-the-dark

Learning to See in the Dark. CVPR 2018

lf_autoencoder_cvpr2018_code

Implementation of the paper: Light field intrinsics with a deep encoder-decoder network

lf_syn

Learning-Based View Synthesis for Light Field Cameras - Pytorch

lfattnet

Attention-based View Selection Networks for Light-field Disparity Estimation

light-field-super-resolution

Convolutional Neural Networks to learn angular detail on epipolar plane images (EPIs) for light field super resolution