368 Open source projects that are alternatives of or similar to Pcn

A list of resources about deep learning solutions on 3D shape processing

PyTorch Code of our WACV2020 paper: Silhouette Guided Point Cloud Reconstruction beyond Occlusion

Implementation of ICML'2021:Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces

SoftPoolNet: Shape Descriptor for Point Cloud Completion and Classification - ECCV 2020 oral

Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance (ECCV2020)

pytorch implementation of >>Patch-base progressive 3D Point Set Upsampling<<

A python tool for fitting primitives 3D shapes in point clouds using RANSAC algorithm

Morphing and Sampling Network for Dense Point Cloud Completion (AAAI2020)

The open source mesh processing system

A resource repository for 3D machine learning

open Multi-View Stereo reconstruction library

Research platform for 3D object detection in PyTorch.

Differentiable Surface Splatting

Open source Structure-from-Motion pipeline

Visualising LIDAR data from KITTI dataset.

The PyTorch Implementation of F-ConvNet for 3D Object Detection

Point cloud semantic segmentation via Deep 3D Convolutional Neural Network

A differentiable 3D renderer with Pytorch, Tensorflow and Matlab interfaces

Pytorch implementation of HorizonNet: Learning Room Layout with 1D Representation and Pano Stretch Data Augmentation.

FLaME: Fast Lightweight Mesh Estimation

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)

The public CGAL repository, see the README below

Python binding of 3D visualization library Pangolin

PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling （CVPR 2020）

A hackable lidar viewer

C++ library and programs for reading and writing ASPRS LAS format with LiDAR data

A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)

PatchMatch，倾斜窗口经典，效果极佳，OpenMVS&Colmap稠密匹配算法。完整实现，代码规范，注释清晰，博客教学，欢迎star！

A high-performance neural network library for point cloud processing.

Code for A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION (ICASSP 2018)

DBNet: A Large-Scale Dataset for Driving Behavior Learning, CVPR 2018

Robotics with GPU computing

Code release for "Factoring Shape, Pose, and Layout from the 2D Image of a 3D Scene"

Implementation of the Point Transformer layer, in Pytorch

Implementation of ICCV19 Paper "Learning Two-View Correspondences and Geometry Using Order-Aware Network"

Implementation of "Pix2Vox: Context-aware 3D Reconstruction from Single and Multi-view Images" (Xie et al., ICCV 2019)

Paperlist of awesome 3D detection methods

Tensorflow framework for the FLAME 3D head model. The code demonstrates how to sample 3D heads from the model, fit the model to 2D or 3D keypoints, and how to generate textured head meshes from Images.

[ECCV'20] Structured3D: A Large Photo-realistic Dataset for Structured 3D Modeling

orb-slam2 with semantic label

Neural Point-Based Graphics

An integrated SfM (Structure from Motion) and MVS (Multi-View Stereo) solution.

Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation. In ICCV2019.

This is a implementation of the 3D FLAME model in PyTorch

[CVPR'18] ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans

An OpenCV-based structured light processing toolkit.

3D Graph Neural Networks for RGBD Semantic Segmentation

Training & Inference Code of PRNet in PyTorch 1.1.0

SurfelWarp: Efficient Non-Volumetric Dynamic Reconstruction

PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition, CVPR 2018

3D reconstruction, sfm with Python3

Code for GAN2Shape (ICLR2021 oral)

This is a package for extrinsic calibration between a 3D LiDAR and a camera, described in paper: Improvements to Target-Based 3D LiDAR to Camera Calibration. This package is used for Cassie Blue's 3D LiDAR semantic mapping and automation.

Code release for "Multi-view Supervision for Single-view Reconstruction via Differentiable Ray Consistency" (CVPR 2017)

Papers and Datasets about Point Cloud.

[CVPR'19] JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds

AD-Census立体匹配算法，中国学者Xing Mei等人研究成果（Respect！），算法效率高、效果出色，适合硬件加速，Intel RealSense D400 Stereo模块算法。完整实现，代码规范，注释清晰，欢迎star！

Python bindings for the Point Cloud Library (PCL)