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

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

3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.

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

Sample implementation of an application using KinectFusionLib

Visualising LIDAR data from KITTI dataset.

Frustum PointNets for 3D Object Detection from RGB-D Data

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.

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

3D Graph Neural Networks for RGBD Semantic Segmentation

A small VEX raytracer for SideFX Houdini with photon mapping global illumination and full recursive reflections and refractions

Grid-GCN for Fast and Scalable Point Cloud Learning

PyTorch reimplementation for "PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors" https://arxiv.org/abs/1808.10322

Robotics with GPU computing

Trescope is a comprehensive 3D machine learning development tool devoted to improve developing experience and speed in 3D field, which helps researchers and developers to label, debug, visualize various 3D data

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

A general 3D object detection codebse.

L-CAS 3D Point Cloud Annotation Tool

The pytorch implementation of flownet3d: https://github.com/xingyul/flownet3d

Patch-base progressive 3D Point Set Upsampling

Render large point clouds and voxel grids with blender.

Python bindings for the Point Cloud Library (PCL)

OpenMMLab's next-generation platform for general 3D object detection.

Lightweight and Accurate Point Cloud Clustering

Display of Radiohead's House of Cards point cloud data

A hackable lidar viewer

A two stage multi-modal loss model along with rigid body transformations to regress 3D bounding boxes

Cluster based segmentation of Point Cloud with PCL lib in ROS

Utilities for point cloud processing. read ply, write ply, search nearest neighbors using octree ...

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

A resource repository for 3D machine learning

A learned sampling approach for point clouds (CVPR 2019)

Point Cloud Library (PCL)

The open source mesh processing system

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

open Multi-View Stereo reconstruction library

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

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

blender python scripts

FPConv: Learning Local Flattening for Point Convolution, CVPR 2020

Paper reading notes on Deep Learning and Machine Learning

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

Interactive Map Correction for 3D Graph SLAM

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

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

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

Semantic3D segmentation with Open3D and PointNet++

Polylidar3D - Fast polygon extraction from 3D Data

Code for "Point-based Multi-view Stereo Network" (ICCV 2019 Oral) & "Visibility-aware Point-based Multi-view Stereo Network" (TPAMI)

Point cloud semantic segmentation via Deep 3D Convolutional Neural Network

A collection of GICP-based fast point cloud registration algorithms

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

Fast algorithms to compute an approximation of the minimal volume oriented bounding box of a point cloud in 3D.

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

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

[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

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