370 Open source projects that are alternatives of or similar to Scan2Cap

Differentiable Point Cloud Sampling (CVPR 2020 Oral)

📚 The list of vision-based SLAM / Visual Odometry open source, blogs, and papers

Paperlist of awesome 3D detection methods

3D Heritage Online Presenter

Associatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019

A small Java-based tool for the generation of point cloud visualization datasets according to Cesium 3D Tiles.

Python binding of 3D visualization library Pangolin

Deep Hough Voting for 3D Object Detection in Point Clouds

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

Fast and robust algorithm to extract edges in unorganized point clouds

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

Pytorch framework for doing deep learning on point clouds.

A lean C++ library for working with point cloud data

Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM 2020

Neural Point-Based Graphics

Fast Plane Extraction Using Agglomerative Hierarchical Clustering (AHC)

Implementation of the Point Transformer layer, in Pytorch

Specification for streaming massive heterogeneous 3D geospatial datasets 🌎

A learned sampling approach for point clouds (CVPR 2019)

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

Regularized Graph CNN for Point Cloud Segmentation

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

[CVPR 2021 - Oral] UnsupervisedR&R: Unsupervised Point Cloud Registration via Differentiable Rendering

code/webpage for the DeepMapping project

Load 3MX/3MXB format LOD model files generated by Bentley ContextCapture into Unity.

orb-slam2 with semantic label

Scripts showcasing filtering techniques applied to point cloud data.

3D LIDAR-based Graph SLAM

No description or website provided.

PyTorch implementation of Pointnet2/Pointnet++

CloudCompare main repository

Learning Graph-Convolutional Representations for Point Cloud Denoising (ECCV 2020)

Papers and Datasets about Point Cloud.

Point cloud importer & renderer for Unity

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"

🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.

Code for Pointwise Convolutional Neural Networks, CVPR 2018

3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.

3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling

YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud (ECCV 2018)

A curated list of awesome links and software libraries that are useful for robots.

blender python scripts

Draco 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.

[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution

Visualising LIDAR data from KITTI dataset.

A hackable lidar viewer

open Multi-View Stereo reconstruction library

Paper reading notes on Deep Learning and Machine Learning

A lightweight, easy-to-use, and efficient C++ library for processing and rendering 3D data

Bayesian Coherent Point Drift (BCPD/BCPD++); Source Code Available

Interactive Map Correction for 3D Graph SLAM

Convert KITTI dataset to ROS bag file the easy way!

Research platform for 3D object detection in PyTorch.

FPConv: Learning Local Flattening for Point Convolution, CVPR 2020

[NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning

Robust Point Cloud Registration Using Iterative Probabilistic Data Associations ("Robust ICP")

Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.

Semantic3D segmentation with Open3D and PointNet++