236 Open source projects that are alternatives of or similar to ViP

[WACV2022] ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection

Code base for M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers

[ICCV2021 Oral] Fooling LiDAR by Attacking GPS Trajectory

Behind the Curtain: Learning Occluded Shapes for 3D Object Detection

3D detection and tracking viewer (visualization) for kitti & waymo dataset

Efficient Online Transfer Learning for 3D Object Detection in Autonomous Driving

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

Official project website for the CVPR 2021 paper "Exploring intermediate representation for monocular vehicle pose estimation"

Papers on 3D Object Detection for Autonomous Driving

Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network

Learning Video Representations from Correspondence Proposals (CVPR 2019 Oral)

Learning Convolutional Transforms for Point Cloud Geometry Compression

[CVPR 2021] SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration

Algorithm that converts point cloud data into an occupancy grid

Deep Image Compression using Decoder Side Information (ECCV 2020)

Single shape Deep Point Cloud Consolidation [TOG 2021]

LPD-Net: 3D Point Cloud Learning for Large-Scale Place Recognition and Environment Analysis, ICCV 2019, Seoul, Korea

Official Python/PyTorch Implementation for "All-In-One Drive: A Large-Scale Comprehensive Perception Dataset with High-Density Long-Range Point Clouds"

Project the PointCloud to the image & Generate the LiDAR PointCloud with color.

Creating real-time dynamic Point Clouds using PyQtGraph, Kinect 2 and the python library PyKinect2.

Improved Deep Point Cloud Geometry Compression

Real-time LIDAR-based Urban Road and Sidewalk detection for Autonomous Vehicles 🚗

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

Stream openni2 depth images over the network

A lightweight tool for labeling 3D bounding boxes in point clouds.

Pytorch framework for doing deep learning on point clouds.

Self-Supervised Pillar Motion Learning for Autonomous Driving (CVPR 2021)

MinkLoc3D: Point Cloud Based Large-Scale Place Recognition

Point Cloud Compression used in i3s Scene Layer Format

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

This is the official repository of the open-source Open Infra Platform software (as of April 2020).

Superpixel-based semantic segmentation, with object pose estimation and tracking. Provided as a ROS package.

Easy description to run and evaluate A-LOAM with KITTI-data

A clean PointNet++ segmentation model implementation. Support batch of samples with different number of points.

ROS 2 wrapper beta for the ZED SDK

Augmentation package for 3d data based on albumentaitons

A customized implementation of the paper "StereoNet: guided hierarchical refinement for real-time edge-aware depth prediction"

CVPR 2020 papers focusing on point cloud analysis

Official PyTorch code for the paper: "Point-Based Modeling of Human Clothing" (ICCV 2021)

Baseline model for "GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping" (CVPR 2020)

Extension of RealSense Unity Wrapper [Unofficial]

Implementation of the iterative closest point algorithm. A point cloud is transformed such that it best matches a reference point cloud.

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

This repo parallelizes mAP_evaluation using python's multiprocessing module.

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

Official Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"

Fast Descriptors and Correspondence Propagation for Robust Global Point Cloud Registration

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

Learning low-shot object classification with explicit shape bias learned from point clouds

DeepI2P: Image-to-Point Cloud Registration via Deep Classification. CVPR 2021

python codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.

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

Edge-detection application with PointCloud Library

[CVPR'21] MonoRUn: Monocular 3D Object Detection by Reconstruction and Uncertainty Propagation

(ROS) Sensor fusion algorithm for camera+lidar.

A pointnet++ fork, with focus on semantic segmentation of differents datasets

Rust algorithms for isosurface extraction

Semantic3D segmentation with Open3D and PointNet++

Las Vegas Reconstruction 2.0

Official implementation of "Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis", ICCV 2021