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d3dsse

Deep 3D Semantic Scene Extrapolation

d3feat

Implementation of CVPR'20 paper - D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features

d4lcn

A pytorch implementation of "D4LCN: Learning Depth-Guided Convolutions for Monocular 3D Object Detection"

da-rnn

Semantic Mapping with Data Associated Recurrent Neural Networks

dae

dae三维建筑模型切片

dal

Domain agnostic learning with disentangled representations

danesfield

Kitware's system for 3D building reconstruction for the IARPA CORE3D program

danet

Dual Attention Network for Scene Segmentation (CVPR2019)

dare

Density Adaptive Point Set Registration

darknet-yolo-segmentation

This project is based on darknet to get image segmentation

data

PCD files for tutorials, examples, or PCL-related applications

data-driven-mesh-segmentation-and-labelling

CG Repo

data-to-models

Thesis project repository. Will be used to store mostly c++ code related to the transformation of raw point cloud data to solid models of structural components.

dataio

Convenient data(including txt, OpenCV image, PCL point cloud) input and output, and convenient point cloud rendering

dataset-pipeline

Pipeline for creating multi-view benchmark datasets from laser scans and images.

datasets_generator

Automatically make datasets(point cloud and tf) for 3D-CNN

dbm

Digital Building Model for Deployment of AI on a Building Scale

dbnet

DBNet: A Large-Scale Dataset for Driving Behavior Learning

dbow2

Enhanced hierarchical bag-of-word library for C++

dbscan

Python implementation of 'Density Based Spatial Clustering of Applications with Noise'

dbscan-1

Density Based Clustering of Applications with Noise (DBSCAN) and Related Algorithms - R package

dbscan-2

A simple implementation of DBSCAN in Python

dbscan-3

C++ clustering algorithm for point cloud

dbscan-pcl-optimized

DBScan algorithm using Octrees to cluster 3D points in a space with PCL Library

dcgnet

The code for IJCAI 2019 paper "Deep Cascade Generation on Point Sets"

dcm-net

This work is based on our paper "DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes", which appeared at the IEEE Conference On Computer Vision And Pattern Recognition (CVPR) 2020.

dcp

deep-convolutional-network-cascade-for-facial-point-detection

TensorFlow implementation of cascade CNN, trained level-by-level

deep-geometric-prior

The reference implementaiton for the paper "Deep Geometric Prior for Surface Reconstruction"

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!