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3d-adv-pc

Generating 3D Adversarial Point Clouds

closerlook3d

A Closer Look at Local Aggregation Operators in Point Cloud Analysis(ECCV 2020)

dfa

dgcnn.pytorch

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

eccv22-pointmixer

[ECCV 2022] Official pytorch implementation of the paper, "PointMixer: MLP-Mixer for Point Cloud Understanding"

grid-gcn

Grid-GCN for Fast and Scalable Point Cloud Learning

if-defense

This is the official pytorch implementation for paper: IF-Defense: 3D Adversarial Point Cloud Defense via Implicit Function based Restoration

malwaredetection_

N -gram based malicious code detection tool

modelnet40-c

Repo for "Benchmarking Robustness of 3D Point Cloud Recognition against Common Corruptions" https://arxiv.org/abs/2201.12296

pct_pytorch

Pytorch implementation of PCT: Point Cloud Transformer

pointasnl

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

pointcloud-c

Benchmarking and Analyzing Point Cloud Perception Robustness under Corruptions

pointcloud-saliency-maps

ICCV 2019 oral presentation

pointcutmix

our code for paper 'PointCutMix: Regularization Strategy for Point Cloud Classification', Neurocomputing, 2022

pointmixup

Implementation for paper "PointMixup: Augmentation for Point Cloud". Accepted to ECCV 2020 as spotlight presentation

pointnet

PyTorch implementation of "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593

pointnet-1

PyTorch Implementation of PointNet

pointnet-pytorch

A re-implementation of the PointNet network in PyTorch

pointnet.pytorch

pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593

pointnet2_pytorch

PyTorch implementation of Pointnet2/Pointnet++

pointnet_pointnet2_pytorch

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

pointwolf

Official Implementation (PyTorch) of "Point Cloud Augmentation with Weighted Local Transformations", ICCV 2021

pu-net

PU-Net: Point Cloud Upsampling Network, CVPR, 2018 (https://arxiv.org/abs/1801.06761)

pumpkin-book

《机器学习》（西瓜书）公式详解

pv-ada

The second place solution to ModelNet-C classification in PointCloud-C Challenge 2022 (ECCV'22 Workshop).https://arxiv.org/abs/2210.15514

pytorch_tutorial

《Pytorch模型训练实用教程》中配套代码

reproduce-campus3d

sagemix

Official Implementation (PyTorch) of "SageMix: Saliency-Guided Mixup for Point Clouds", NeurIPS 2022

si-adv

[CVPR 2022] Shape-invariant Adversarial Point Clouds

tensorflow-dup-net

DUP-Net: Denoiser and Upsampler Network for 3D Adversarial Point Clouds Defense