298 Open source projects that are alternatives of or similar to geometric_adv

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Differentiable Surface Splatting

[ICCV2021 Oral] Fooling LiDAR by Attacking GPS Trajectory

A learned sampling approach for point clouds (CVPR 2019)

Differentiable Point Cloud Sampling (CVPR 2020 Oral)

3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.

The public CGAL repository, see the README below

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

Graph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph Machine Learning.

orb-slam2 with semantic label

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

Python bindings for the Point Cloud Library (PCL)

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

Implementation of the Point Transformer layer, in Pytorch

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

Papers and Datasets about Point Cloud.

Robust Coarse Curved TetMesh Generation

Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"

Research platform for 3D object detection in PyTorch.

No description or website provided.

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

The open source mesh processing system

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

Associatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019

Paperlist of awesome 3D detection methods

Python binding of 3D visualization library Pangolin

Julia bindings for the displaz lidar viewer

Experiments on unsupervised point cloud reconstruction.

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

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

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

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

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

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

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

Code for the unrestricted adversarial examples paper (NeurIPS 2018)

3D Graph Neural Networks for RGBD Semantic Segmentation

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

L-CAS 3D Point Cloud Annotation Tool

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

A hackable lidar viewer

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

🏭 Geometry Processing at LMU Munich

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

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

Point cloud semantic segmentation via Deep 3D Convolutional Neural Network

Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"

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

Robotics with GPU computing

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

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

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

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

Neural Point-Based Graphics

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.

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

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

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

Efficient 3D Deep Learning