Easy3dA lightweight, easy-to-use, and efficient C++ library for processing and rendering 3D data
Stars: ✭ 383 (+882.05%)
Awesome Visual Slam📚 The list of vision-based SLAM / Visual Odometry open source, blogs, and papers
Stars: ✭ 1,336 (+3325.64%)
CilantroA lean C++ library for working with point cloud data
Stars: ✭ 577 (+1379.49%)
MvstudioAn integrated SfM (Structure from Motion) and MVS (Multi-View Stereo) solution.
Stars: ✭ 154 (+294.87%)
point-cloud-predictionSelf-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks
Stars: ✭ 97 (+148.72%)
Open-Infra-PlatformThis is the official repository of the open-source Open Infra Platform software (as of April 2020).
Stars: ✭ 26 (-33.33%)
mxnet-E2FARMXNET/Gluon Implementation of End-to-end 3D Face Reconstruction with Deep Neural Networks
Stars: ✭ 76 (+94.87%)
juxtaGenerates large collages of images using OpenSeadragon
Stars: ✭ 41 (+5.13%)
glofrimGlobally Applicable Framework for Integrated Hydrological-Hydrodynamic Modelling (GLOFRIM)
Stars: ✭ 26 (-33.33%)
pcc geo cnn v2Improved Deep Point Cloud Geometry Compression
Stars: ✭ 55 (+41.03%)
SpinNet[CVPR 2021] SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration
Stars: ✭ 181 (+364.1%)
AIODriveOfficial Python/PyTorch Implementation for "All-In-One Drive: A Large-Scale Comprehensive Perception Dataset with High-Density Long-Range Point Clouds"
Stars: ✭ 32 (-17.95%)
pcc geo cnnLearning Convolutional Transforms for Point Cloud Geometry Compression
Stars: ✭ 44 (+12.82%)
CurveNetOfficial implementation of "Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis", ICCV 2021
Stars: ✭ 94 (+141.03%)
LPD-netLPD-Net: 3D Point Cloud Learning for Large-Scale Place Recognition and Environment Analysis, ICCV 2019, Seoul, Korea
Stars: ✭ 75 (+92.31%)
torch-points3dPytorch framework for doing deep learning on point clouds.
Stars: ✭ 1,823 (+4574.36%)
efficient online learningEfficient Online Transfer Learning for 3D Object Detection in Autonomous Driving
Stars: ✭ 20 (-48.72%)
graspnet-baselineBaseline model for "GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping" (CVPR 2020)
Stars: ✭ 146 (+274.36%)
pais-mvsMulti-view stereo image-based 3D reconstruction
Stars: ✭ 55 (+41.03%)
unditherSmart filter to remove Floyd-Steinberg dithering from paletted images
Stars: ✭ 38 (-2.56%)
softpoolSoftPoolNet: Shape Descriptor for Point Cloud Completion and Classification - ECCV 2020 oral
Stars: ✭ 62 (+58.97%)
AdTreeAccurate, Detailed, and Automatic Modelling of Laser-Scanned Trees
Stars: ✭ 88 (+125.64%)
MinkLoc3DMinkLoc3D: Point Cloud Based Large-Scale Place Recognition
Stars: ✭ 83 (+112.82%)
M3DETRCode base for M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers
Stars: ✭ 47 (+20.51%)
Point2SequencePoint2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network
Stars: ✭ 34 (-12.82%)
volumentationsAugmentation package for 3d data based on albumentaitons
Stars: ✭ 26 (-33.33%)
DSINDeep Image Compression using Decoder Side Information (ECCV 2020)
Stars: ✭ 39 (+0%)
RealSenseExtension of RealSense Unity Wrapper [Unofficial]
Stars: ✭ 31 (-20.51%)
frustum-convnetThe PyTorch Implementation of F-ConvNet for 3D Object Detection
Stars: ✭ 228 (+484.62%)
devonfw4flutter-mts-appLarge-Scale Flutter Reference Application. An Extension of DevonFw's My Thai Star Project
Stars: ✭ 54 (+38.46%)
ffhqr-datasetFFHQR -- the first large-scale retouching dataset for computer vision research.
Stars: ✭ 85 (+117.95%)
hms-3d-modeling-demoHUAWEI 3D Modeling Kit project contains a sample app. Guided by this demo, you will be able to implement full 3D Modeling Kit capabilities, including 3D object reconstruction and material generation.
Stars: ✭ 45 (+15.38%)
shaperA C++ tool for 3D reconstruction from parallel 2D sections
Stars: ✭ 69 (+76.92%)
lepccPoint Cloud Compression used in i3s Scene Layer Format
Stars: ✭ 22 (-43.59%)
point based clothingOfficial PyTorch code for the paper: "Point-Based Modeling of Human Clothing" (ICCV 2021)
Stars: ✭ 57 (+46.15%)
costmap depth cameraThis is a costmap plugin for costmap_2d pkg. This plugin supports multiple depth cameras and run in real time.
Stars: ✭ 26 (-33.33%)
self-sampleSingle shape Deep Point Cloud Consolidation [TOG 2021]
Stars: ✭ 33 (-15.38%)
pyRANSAC-3DA python tool for fitting primitives 3D shapes in point clouds using RANSAC algorithm
Stars: ✭ 253 (+548.72%)
cloud to mapAlgorithm that converts point cloud data into an occupancy grid
Stars: ✭ 26 (-33.33%)
fastDesp-corrPropFast Descriptors and Correspondence Propagation for Robust Global Point Cloud Registration
Stars: ✭ 16 (-58.97%)
OverlapPredator[CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.
Stars: ✭ 293 (+651.28%)
ldmx-swThe Light Dark Matter eXperiment simulation and reconstruction framework.
Stars: ✭ 14 (-64.1%)
urban road filterReal-time LIDAR-based Urban Road and Sidewalk detection for Autonomous Vehicles 🚗
Stars: ✭ 134 (+243.59%)
MonoRUn[CVPR'21] MonoRUn: Monocular 3D Object Detection by Reconstruction and Uncertainty Propagation
Stars: ✭ 85 (+117.95%)
FLAT[ICCV2021 Oral] Fooling LiDAR by Attacking GPS Trajectory
Stars: ✭ 52 (+33.33%)
Python-for-Remote-Sensingpython codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.
Stars: ✭ 20 (-48.72%)
DeepI2PDeepI2P: Image-to-Point Cloud Registration via Deep Classification. CVPR 2021
Stars: ✭ 130 (+233.33%)
sp segmenterSuperpixel-based semantic segmentation, with object pose estimation and tracking. Provided as a ROS package.
Stars: ✭ 33 (-15.38%)
learning2hash.github.ioWebsite for "A survey of learning to hash for Computer Vision" https://learning2hash.github.io
Stars: ✭ 14 (-64.1%)
3D-Object-ReconstrutionA curated list of awesome Single-view 3D Object Reconstruction papers & resources
Stars: ✭ 75 (+92.31%)
awesome-3dAwesome list of 3D resources. AR/MR/VR is the future, and 3D model is the basics of all of them.
Stars: ✭ 42 (+7.69%)
isosurfaceRust algorithms for isosurface extraction
Stars: ✭ 51 (+30.77%)
awesome-lidar😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.
Stars: ✭ 217 (+456.41%)