SYNDOF
Defocus estimator
An implementation of a defocus map estimation technique using domain adaptation and synthetic data generation
The official matlab implementation of SYNDOF generation used in the paper, 'Deep Defocus Map Estimation using Domain Adaptation', CVPR 2019
53 stars
3 watching
9 forks
Language: MATLAB
last commit: 8 months ago
Linked from 1 awesome list
uhub/awesome-matlabRelated projects:
| Repository | Description | Stars |
|---|---|---|
| codeslake/dmenet | A deep learning implementation of defocus map estimation using domain adaptation | 123 |
 zzangjinsun/dhde_cvpr17 | An image processing algorithm for estimating the defocus of an image | 59 |
 panda5mt/depth_estimate_blur | This project develops software for depth estimation using defocus blur in images captured by automotive cameras. | 55 |
| codeslake/ifan | Implementation of an algorithm for single image deblurring in images with defocus blur | 227 |
 spaceml-org/ml4floods | An end-to-end machine learning pipeline for flood extent estimation from satellite images | 139 |
| codeslake/pvdnet | An open-source implementation of a deep learning model for video deblurring and motion estimation. | 114 |
 tinghuiz/sfmlearner | A framework for learning depth and ego-motion from monocular videos without supervision | 1,972 |
 abdullah-abuolaim/recurrent-defocus-deblurring-synth-dual-pixel | This project provides tools and models to generate realistic data for camera systems with defocus blur, aiming to improve image deblurring techniques. | 49 |
 marcelampc/d3net_depth_estimation | A PyTorch implementation of a deep neural network architecture for estimating depth from defocus blur images | 118 |
 vinthony/depth-distillation | A project that develops and evaluates a method to detect defocus blur in images using depth information. | 66 |
 tri-ml/ddad | A collection of data and tools for training algorithms to estimate dense depth in urban environments. | 494 |
| tri-ml/packnet-sfm | An implementation of self-supervised monocular depth estimation methods for real-time 3D reconstruction and ego-motion estimation | 1,245 |
 alikaraali/edge-based-dfe-tip2018 | An image processing project implementing edge-based defocus blur estimation with adaptive scale selection | 18 |
 autodistill/autodistill | Automatically trains models from large foundation models to perform specific tasks with minimal human intervention. | 2,004 |
 data2dynamics/d2d | A modeling environment designed to estimate parameters in dynamical systems using experimental data | 57 |