MeshlabThe open source mesh processing system
Stars: ✭ 2,619 (+4193.44%)
Openmvsopen Multi-View Stereo reconstruction library
Stars: ✭ 1,842 (+2919.67%)
softpoolSoftPoolNet: Shape Descriptor for Point Cloud Completion and Classification - ECCV 2020 oral
Stars: ✭ 62 (+1.64%)
SkeletonBridgeReconThe code for CVPR2019 Oral paper "A Skeleton-bridged Deep Learning Approach for Generating Meshes of Complex Topologies from Single RGB Images"
Stars: ✭ 72 (+18.03%)
NeuralPullImplementation of ICML'2021:Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces
Stars: ✭ 149 (+144.26%)
Silhouette-Guided-3DPyTorch Code of our WACV2020 paper: Silhouette Guided Point Cloud Reconstruction beyond Occlusion
Stars: ✭ 36 (-40.98%)
volumentationsAugmentation package for 3d data based on albumentaitons
Stars: ✭ 26 (-57.38%)
PointCutMixour code for paper 'PointCutMix: Regularization Strategy for Point Cloud Classification'
Stars: ✭ 42 (-31.15%)
StrayVisualizerVisualize Data From Stray Scanner https://keke.dev/blog/2021/03/10/Stray-Scanner.html
Stars: ✭ 30 (-50.82%)
roadifierOpen Source road mesh generator script for Unity
Stars: ✭ 30 (-50.82%)
unity-plumberA component to procedurally generate pipe-like meshes in Unity
Stars: ✭ 55 (-9.84%)
zmeshMarching Cubes & Mesh Simplification on multi-label 3D images.
Stars: ✭ 37 (-39.34%)
PaiConvMeshOfficial repository for the paper "Learning Local Neighboring Structure for Robust 3D Shape Representation"
Stars: ✭ 19 (-68.85%)
Nerf plNeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning
Stars: ✭ 362 (+493.44%)
3dhop3D Heritage Online Presenter
Stars: ✭ 89 (+45.9%)
KinectfusionappSample implementation of an application using KinectFusionLib
Stars: ✭ 69 (+13.11%)
intersection-wasmMesh-Mesh and Triangle-Triangle Intersection tests based on the algorithm by Tomas Akenine-Möller
Stars: ✭ 17 (-72.13%)
findpeaksThe detection of peaks and valleys in a 1d-vector or 2d-array (image)
Stars: ✭ 121 (+98.36%)
WS3DOfficial version of 'Weakly Supervised 3D object detection from Lidar Point Cloud'(ECCV2020)
Stars: ✭ 104 (+70.49%)
3PU pytorchpytorch implementation of >>Patch-base progressive 3D Point Set Upsampling<<
Stars: ✭ 61 (+0%)
pyRANSAC-3DA python tool for fitting primitives 3D shapes in point clouds using RANSAC algorithm
Stars: ✭ 253 (+314.75%)
Kinectfusionlib Implementation of the KinectFusion approach in modern C++14 and CUDA
Stars: ✭ 261 (+327.87%)
Easy3dA lightweight, easy-to-use, and efficient C++ library for processing and rendering 3D data
Stars: ✭ 383 (+527.87%)
PolylidarPolylidar3D - Fast polygon extraction from 3D Data
Stars: ✭ 106 (+73.77%)
MeshFrameA light-weighted, efficient and header-only mesh processing frame work.
Stars: ✭ 18 (-70.49%)
Point Cloud UtilsA Python library for common tasks on 3D point clouds
Stars: ✭ 281 (+360.66%)
PymeshfixPython Wrapper for MeshFix: easily repair holes in PyVista surface meshes
Stars: ✭ 75 (+22.95%)
Pixel2meshplusplusPixel2Mesh++: Multi-View 3D Mesh Generation via Deformation. In ICCV2019.
Stars: ✭ 188 (+208.2%)
CgalThe public CGAL repository, see the README below
Stars: ✭ 2,825 (+4531.15%)
ofxCorkCsgA constructive solid geometry (mesh boolean) addon for openFrameworks.
Stars: ✭ 43 (-29.51%)
DracoDraco is a library for compressing and decompressing 3D geometric meshes and point clouds. It is intended to improve the storage and transmission of 3D graphics.
Stars: ✭ 4,611 (+7459.02%)
PcnCode for PCN: Point Completion Network in 3DV'18 (Oral)
Stars: ✭ 238 (+290.16%)
SpareNetStyle-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021)
Stars: ✭ 118 (+93.44%)
mvsnerf[ICCV 2021] Our work presents a novel neural rendering approach that can efficiently reconstruct geometric and neural radiance fields for view synthesis.
Stars: ✭ 533 (+773.77%)
radmap point cloudsPreprocessing, coordinate frame calibration, configuration files, and launching procedure used to generate point clouds with Google Cartographer for the RadMAP acquisition system. The RadMAP acquisition system consists of two LIDARS, differential GPS, two Ladybug 360 cameras, and an IMU.
Stars: ✭ 26 (-57.38%)
uzakelVerimerkezleri Arası IP Engelleme Sistemi
Stars: ✭ 17 (-72.13%)
skeletor3D skeleton extraction from meshes.
Stars: ✭ 115 (+88.52%)
Depth-Guided-InpaintingCode for ECCV 2020 "DVI: Depth Guided Video Inpainting for Autonomous Driving"
Stars: ✭ 50 (-18.03%)
MinkLocMultimodalMinkLoc++: Lidar and Monocular Image Fusion for Place Recognition
Stars: ✭ 65 (+6.56%)
combining3DmorphablemodelsProject Page of Combining 3D Morphable Models: A Large scale Face-and-Head Model - [CVPR 2019]
Stars: ✭ 80 (+31.15%)
void-datasetVisual Odometry with Inertial and Depth (VOID) dataset
Stars: ✭ 74 (+21.31%)
simpleICPImplementations of a rather simple version of the Iterative Closest Point algorithm in various languages.
Stars: ✭ 140 (+129.51%)
neureconMulti-view 3D reconstruction using neural rendering. Unofficial implementation of UNISURF, VolSDF, NeuS and more.
Stars: ✭ 697 (+1042.62%)
relative poseA Collection of Algorithms for Relative Pose Estimation of a Calibrated Camera
Stars: ✭ 27 (-55.74%)
simple-sfmA readable implementation of structure-from-motion
Stars: ✭ 19 (-68.85%)
geometric advGeometric Adversarial Attacks and Defenses on 3D Point Clouds (3DV 2021)
Stars: ✭ 20 (-67.21%)
Displaz.jlJulia bindings for the displaz lidar viewer
Stars: ✭ 16 (-73.77%)
pcl.pyTemplated python inferface for Point Cloud Library (PCL) based on Cython
Stars: ✭ 64 (+4.92%)
t8codeParallel algorithms and data structures for tree-based AMR with arbitrary element shapes.
Stars: ✭ 37 (-39.34%)
SGGpoint[CVPR 2021] Exploiting Edge-Oriented Reasoning for 3D Point-based Scene Graph Analysis (official pytorch implementation)
Stars: ✭ 41 (-32.79%)
e3dEfficient 3D Deep Learning
Stars: ✭ 44 (-27.87%)
ldgcnnLinked Dynamic Graph CNN: Learning through Point Cloud by Linking Hierarchical Features
Stars: ✭ 66 (+8.2%)