289 Open source projects that are alternatives of or similar to ECCV-2020-point-cloud-analysis

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

Point Cloud Library (PCL)

Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks

😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.

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

Polylidar3D - Fast polygon extraction from 3D Data

This is a costmap plugin for costmap_2d pkg. This plugin supports multiple depth cameras and run in real time.

Point Cloud Compression used in i3s Scene Layer Format

Roof Classification, Segmentation, and Damage Completion using 3D Point Clouds

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

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

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

A ground segmentation algorithm for 3D point clouds based on the work described in “Fast segmentation of 3D point clouds: a paradigm on LIDAR data for Autonomous Vehicle Applications”, D. Zermas, I. Izzat and N. Papanikolopoulos, 2017. Distinguish between road and non-road points. Road surface extraction. Plane fit ground filter

[CVPR 2021] Few-shot 3D Point Cloud Semantic Segmentation

level-of-details toolkit(LTK). Convert osgb lod tree to 3mx tree. Convert pointcloud in ply/las/laz/xyz to 3mx/osgb tree.

Paper list of deep learning on point clouds.

An algorithm for projecting three-dimensional laser point cloud data into serialized two-dimensional images.

No description or website provided.

Experiments on unsupervised point cloud reconstruction.

Autonomous ground exploration mobile robot which has 3-DOF manipulator with Intel Realsense D435i mounted on a Tracked skid-steer drive mobile robot. The robot is capable of mapping spaces, exploration through RRT, SLAM and 3D pose estimation of objects around it. This is an custom robot with self built URDF model.The Robot uses ROS's navigation…

Project Page of Combining 3D Morphable Models: A Large scale Face-and-Head Model - [CVPR 2019]

Code for "Reversing the cycle: self-supervised deep stereo through enhanced monocular distillation"

[ACM MM 2022] You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptors

C++ code for triangulating Point Cloud data and displaying it

Implementations of a rather simple version of the Iterative Closest Point algorithm in various languages.

Linked Dynamic Graph CNN: Learning through Point Cloud by Linking Hierarchical Features

Efficient 3D Deep Learning

Migrated to: https://gitlab.com/Oslandia/lopocs

register 3D point clouds using rotation, translation, and scale transformations.

Official version of 'Weakly Supervised 3D object detection from Lidar Point Cloud'(ECCV2020)

Video Object Segmentation with Episodic Graph Memory Networks (ECCV2020 spotlight)

A Modular Framework for LiDAR-based Lifelong Mapping

Style-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021)

"From Voxel to Point: IoU-guided 3D Object Detection for Point Cloud with Voxel-to-Point Decoder" and "Anchor-free 3D Single Stage Detector with Mask-Guided Attention for Point Cloud" in ACM MM 2021.

Create 3D labelled bounding boxes in RViz

[CVPR 2021] Scan2Cap: Context-aware Dense Captioning in RGB-D Scans

MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition

code for our ECCV 2020 spotlight paper "Multimodal Shape Completion via Conditional Generative Adversarial Networks"

Julia bindings for the displaz lidar viewer

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

[CVPR 2021] Exploiting Edge-Oriented Reasoning for 3D Point-based Scene Graph Analysis (official pytorch implementation)

Adaptive Surface Reconstruction for 3D Data Processing

Implementation of "GRNet: Gridding Residual Network for Dense Point Cloud Completion". (Xie et al., ECCV 2020)

Templated python inferface for Point Cloud Library (PCL) based on Cython

Remap, mask, renumber, unique, and in-place transposition of 3D labeled images. Point cloud too.

The contents of this repository have been integrated into https://github.com/SixLabors/ImageSharp

recognize and localize an object in 3D Point Cloud scene using VFH - SVMs based method and 3D-CNNs method

Global L0 algorithm for regularity-constrained plane fitting

Graduation Project: A point cloud semantic segmentation and VIO based 3D reconstruction method using RGB-D and IMU

OpenCV .Net application supporting several RGBD cameras - Kinect, Intel RealSense, Luxonis Oak-D, Mynt Eye D 1000, and StereoLabs ZED 2

Camera type for doing 3D rendering in Elm

FlowNet3D: Learning Scene Flow in 3D Point Clouds (CVPR 2019)

Mix3D: Out-of-Context Data Augmentation for 3D Scenes (3DV 2021 Oral)

TF2 implementation of PointNet for segmenting point clouds

30th June, 2019 - 30th June, 2020. Robotics and Machine Intelligence Lab, The Hong Kong Polytechnic University. This work is supported in part by the Chinese National Engineering Research Centre for Steel Construction (Hong Kong Branch) at The Hong Kong Polytechnic University under grant BBV8, in part by the Research Grants Council of Hong Kong …

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

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

No description or website provided.

Associatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019

Robotics with GPU computing