最新点云相关开源论文集合
01
点云分类与分割论文
Relation-Shape Convolutional Neural Network for Point Cloud Analysis.
code：https://github.com/Yochengliu/Relation-Shape-CNN
A-CNN: Annularly Convolutional Neural Networks on Point Clouds.
code：https://github.com/artemkomarichev/a-cnn
PointConv: Deep Convolutional Networks on 3D Point Clouds
code：https://github.com/DylanWusee/pointconv
PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understanding
code：https://github.com/daerduoCarey/partnet_dataset
Associatively Segmenting Instances and Semantics in Point Clouds.
code：https://github.com/WXinlong/ASIS
Octree guided CNN with Spherical Kernels for 3D Point Clouds.
code：https://github.com/hlei-ziyan/SPH3D-GCN
PointPillars: Fast Encoders for Object Detection from Point Clouds
code：https://github.com/nutonomy/second.pytorch
Patch-based Progressive 3D Point Set Upsampling.
code：https://github.com/yifita/3PU
LP-3DCNN: Unveiling Local Phase in 3D Convolutional Neural Networks.
code :https://sites.google.com/view/lp-3dcnn/home
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data.
code：https://github.com/hkust-vgd/scanobjectnn
Rotation Invariant Convolutions for 3D Point Clouds Deep Learning.
code：https://hkust-vgd.github.io/riconv/
Zero-shot Learning of 3D Point Cloud Objects.
code：https://github.com/alichr/Zero-shot-Learning-of-3D-Point-Cloud-Objects
02
点云配准相关论文
DeepMapping: Unsupervised Map Estimation From Multiple Point Clouds.
code：https://github.com/ai4ce/DeepMapping
FilterReg: Robust and Efficient Probabilistic Point-Set Registration using Gaussian Filter and Twist Parameterization
code：https://bitbucket.org/gaowei19951004/poser/src/master/
3D Point Cloud Registration for Localization using a Deep Neural Network Auto-Encoder.
code：https://github.com/gilbaz/LORAX
Density Adaptive Point Set Registration.
code：https://github.com/felja633/DARE
03
自动驾驶及物体检测相关论文
Multi-View 3D Object Detection Network for Autonomous Driving.
code：https://github.com/bostondiditeam/MV3D
Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving.
code：https://github.com/mileyan/pseudo_lidar
Vote3Deep: Fast object detection in 3D point clouds using efficient convolutional neural networks.
code：https://github.com/lijiannuist/Vote3Deep_lidar
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud.
code：https://github.com/sshaoshuai/PointRCNN
PointFlowNet: Learning Representations for Rigid Motion Estimation from Point Clouds
code：https://github.com/aseembehl/pointflownet
Deep Hough Voting for 3D Object Detection in Point Clouds.
code :https://github.com/qq456cvb/VoteNet
SqueezeSegV2: Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud.
code：https://github.com/xuanyuzhou98/SqueezeSegV2
FVNet: 3D Front-View Proposal Generation for Real-Time Object Detection from Point Clouds.
code：https://github.com/LordLiang/FVNet
Complexer-YOLO: Real-Time 3D Object Detection and Tracking on Semantic Point Clouds
code：https://github.com/AI-liu/Complex-YOLO
3D Backbone Network for 3D Object Detection.
code：https://github.com/Benzlxs/tDBN
PointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation.
code：https://github.com/malavikabindhi/CS230-PointFusion
04
点云三维重建相关论文
Robust Point Cloud Based Reconstruction of Large-Scale Outdoor Scenes
code：https://github.com/ziquan111/RobustPCLReconstruction
Revealing Scenes by Inverting Structure from Motion Reconstructions.
code :https://github.com/francescopittaluga/invsfm
CAPNet: Continuous Approximation Projection For 3D Point Cloud Reconstruction Using 2D Supervision.
code：https://github.com/val-iisc/capnet
3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions.
code：https://github.com/andyzeng/3dmatch-toolbox
PolyFit: Polygonal Surface Reconstruction from Point Clouds.
code：https://github.com/LiangliangNan/PolyFit
05
点云位姿估计相关论文
SO-HandNet: Self-Organizing Network for 3D Hand Pose Estimation with Semi-supervised Learning.
code：https://github.com/TerenceCYJ/SO-HandNet
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain.
code：https://github.com/RobustFieldAutonomyLab/LeGO-LOAM
06
点云其他类相关论文
3D Point Cloud Denoising via Deep Neural Network based Local Surface Estimation.
code：https://github.com/chaojingduan/Neural-Projection
code：https://github.com/lijx10/USIP
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