216 Open source projects that are alternatives of or similar to Flownet3d

code/webpage for the DeepMapping project

Code for Pointwise Convolutional Neural Networks, CVPR 2018

Research platform for 3D object detection in PyTorch.

Neural Point-Based Graphics

Keras implementation for Pointnet

Papers and Datasets about Point Cloud.

CloudCompare main repository

Differentiable Point Cloud Sampling (CVPR 2020 Oral)

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

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

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

This is the official implementation of RSNet.

orb-slam2 with semantic label

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

The public CGAL repository, see the README below

Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review

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

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

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

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

Differentiable Surface Splatting

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

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

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

Paperlist of awesome 3D detection methods

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

User-friendly, commercial-grade software for processing aerial imagery. 🛩

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

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

Visualising LIDAR data from KITTI dataset.

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.

3D Graph Neural Networks for RGBD Semantic Segmentation

Grid-GCN for Fast and Scalable Point Cloud Learning

Robotics with GPU computing

Light-weight camera LiDAR calibration package for ROS using OpenCV and PCL (PnP + LM optimization)

L-CAS 3D Point Cloud Annotation Tool

Patch-base progressive 3D Point Set Upsampling

Python bindings for the Point Cloud Library (PCL)

Lightweight and Accurate Point Cloud Clustering

A hackable lidar viewer

Cluster based segmentation of Point Cloud with PCL lib in ROS

Code for PCN: Point Completion Network in 3DV'18 (Oral)

A learned sampling approach for point clouds (CVPR 2019)

The open source mesh processing system

open Multi-View Stereo reconstruction library

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

FPConv: Learning Local Flattening for Point Convolution, CVPR 2020

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

[CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.

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

Polylidar3D - Fast polygon extraction from 3D Data

Point cloud semantic segmentation via Deep 3D Convolutional Neural Network

Pytorch implementation of 'Graph Attention Convolution for Point Cloud Segmentation'

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

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

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

Associatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019

Implementation of the Point Transformer layer, in Pytorch

Python binding of 3D visualization library Pangolin