224 Open source projects that are alternatives of or similar to frustum-convnet

A New 3D Detector. Code Will be made public.

Behind the Curtain: Learning Occluded Shapes for 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

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

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

LiDAR fog simulation

Code for ECCV 2020 "DVI: Depth Guided Video Inpainting for Autonomous Driving"

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

ROS 2 wrapper beta for the ZED SDK

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

No description or website provided.

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

Semantic3D segmentation with Open3D and PointNet++

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 …

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

our code for paper 'PointCutMix: Regularization Strategy for Point Cloud Classification'

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

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

Improved Deep Point Cloud Geometry Compression

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

nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.

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

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

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

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

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

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…

Edge-detection application with PointCloud Library

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

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

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

ECCV 2020 papers focusing on point cloud analysis

No description or website provided.

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

Geometric Adversarial Attacks and Defenses on 3D Point Clouds (3DV 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.

Efficient 3D Deep Learning

Fast Descriptors and Correspondence Propagation for Robust Global Point Cloud Registration

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

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

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

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

Experiments on unsupervised point cloud reconstruction.

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

Julia bindings for the displaz lidar viewer

CVPR 2020 papers focusing on point cloud analysis

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

Paper list of deep learning on point clouds.

Stream openni2 depth images over the network

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

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

Associatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019

Robotics with GPU computing

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

TF2 implementation of PointNet for segmenting point clouds

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

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

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

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