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demo_lidar

Depth Enhanced Monocular Odometry (camera and lidar version)

demo_rgbd

Depth Enhanced Monocular Odometry (RGBD camera version)

demon

DeMoN: Depth and Motion Network

demosaicnet

An implementation of Deep Joint Demosaicking and Denoising - SiGGRAPH Asia 2016

dense3dcrf

Fully-connected (dense) 3D CRF for processing biomedical scans

dense_flow

OpenCV Implementation of different optical flow algorithms

dense_new

dense_vo

dense visual odometery

densecl

Dense Contrastive Learning (DenseCL) for self-supervised representation learning, CVPR 2021.

densecrf

a fork of the densecrf package implementing alternative inference scheme

densecrf-1

Fork of http://www.philkr.net/home/densecrf

densecrf-2

densecrf-python

Python Wrapper for Dense CRF

densedepth

High Quality Monocular Depth Estimation via Transfer Learning

denseinferencewrapper

A python wrapper for Krähenbühls dense CRF for medical image volumes.

densemapnet

DenseMapNet Keras code of "Fast Disparity Estimation using Dense Networks" paper to appear at ICRA 2018

densematchingbenchmark

Dense Matching Benchmark

densenet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

densenetcaffe

Caffe code for Densely Connected Convolutional Networks (DenseNets)

deocclusion

Code for our CVPR 2020 work.

depth-estimation

Master's thesis

depth-estimation-using-cnn

Simple depth maps obtained by using CNN

depth-map-prediction

Depth Map Prediction from a Single Image using a Multi-Scale Deep Network

depth-vo-feat

Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction

depthcomp

A real-time depth filling approach based on prior image segmentation

depthholefiller

Class to fill holes in a depth image (e.g. from Kinect)

depthmap_dataset

Python Blender script to generate random scene, depth map and corresponding Stereo images for machine learning.

depthstream

GPU-accelerated stereo vision algorithm

depthtsdf

deshadowstcgans

An implementation of the paper:"Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal" by Jifeng Wang, etc.