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Search results for deep learning point cloud
deep-learning
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point-cloud
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150 search results found
Awesome 3d Anomaly Detection
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30
Awesome-3D/Multimodal-Anomaly-Detection-and-Locali
4d Or
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28
Official code of the paper 4D-OR: Semantic Scene Graphs for OR Domain Modeling accepted at MICCAI 2022. This repo includes both the dataset and our code.
Learn_region_grow
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28
LRGNet: Learnable Region Growing for Point Cloud Segmentation
If Defense
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28
This is the official pytorch implementation for paper: IF-Defense: 3D Adversarial Point Cloud Defense via Implicit Function based Restoration
Noise2noisemapping
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27
[ICML'23 Oral] Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping
Dgnn
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27
[SGP 2021] Scalable Surface Reconstruction with Delaunay-Graph Neural Networks
Geometry Dex
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27
PyTorch Code for "Generalization in Dexterous Manipulation via Geometry-Aware Multi-Task Learning"
Pcc_geo_cnn_v2
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26
Improved Deep Point Cloud Geometry Compression
Deep_grasp_demo
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25
Deep learning for grasp detection within MoveIt.
Pixano App
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24
Pixano App is a web-based smart-annotation tool for computer vision applications.
Mars3d
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24
(CVPR 2023) MarS3D: A Plug-and-Play Motion-Aware Model for Semantic Segmentation on Multi-Scan 3D Point Clouds
Efficient_online_learning
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22
Efficient Online Transfer Learning for 3D Object Detection in Autonomous Driving
Dsr Benchmark
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22
A Survey and Benchmark for Automatic Surface Reconstruction from Point Clouds
Neuralpull Pytorch
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22
Implementation of ICML'2021:Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces
Point2sequence
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22
Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network
Pvrnet
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20
PVRNet: Point-View Relation Neural Network for 3D Shape Recognition (AAAI 2019)
Dsrv Data
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20
Data, code and pretrained models for Deep Surface Reconstruction from Point Clouds with Visibility Information [ICPR 2022]
Segments Ai
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20
Segments.ai Python SDK
Eccv 2020 Point Cloud Analysis
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20
ECCV 2020 papers focusing on point cloud analysis
Pointcloududa
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19
[IEEE-TMI 2021] This is our PyTorch implementation for Adapt Everywhere paper on unsupervised domain adaptation using entropy and point-cloud paper.
Progressive Conditional Generative Adversarial Network
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18
A progressive conditional generative adversarial network (PCGAN) for generating dense and colored 3D point clouds.
Frustum Pointpillars
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17
Frustum-PointPillars: A Multi-Stage Approach for 3D Object Detection using RGB Camera and LiDAR
Tum Traffic Dataset Dev Kit
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17
TUM Traffic Dataset Development Kit
Mesh Attack
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16
our code for paper '3D Adversarial Attacks Beyond Point Cloud '
Gfnet
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16
[TMLR 2022] Geometric Flow Network for 3D Point Cloud Semantic Segmentation
Dipole Normal Prop
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16
Learning Normal Orientation For Point Clouds [SIGGRAPH 2021]
Python For Remote Sensing
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15
python codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.
Pointnet2 Tensorflow2
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15
Pointnet++ modules implemented as tensorflow 2 keras layers.
Pccai
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15
PccAI is a framework for AI-based point cloud compression
3d Cnn Emotion Recognition
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15
Volumetric CNN for Emotion Recognition for iPhone face dataset
Point Cloud Segmentation
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15
TF2 implementation of PointNet for segmenting point clouds
Gd Vae
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15
Geometric Dynamic Variational Autoencoders (GD-VAEs) for learning embedding maps for nonlinear dynamics into general latent spaces. This includes methods for standard latent spaces or manifold latent spaces with specified geometry and topology. The manifold latent spaces can be based on analytic expressions or general point cloud representations.
Badet
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15
Rui Qian, Xin Lai, Xirong Li: BADet: Boundary-Aware 3D Object Detection from Point Clouds (Pattern Recognition 2022: IF=8.518)
D3net
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15
[ECCV2022] D3Net: A Unified Speaker-Listener Architecture for 3D Dense Captioning and Visual Grounding
Neuralpci
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14
✨ [CVPR 2023] NeuralPCI: Spatio-temporal Neural Field for 3D Point Cloud Multi-frame Non-linear Interpolation
Roofn3d
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14
Roof Classification, Segmentation, and Damage Completion using 3D Point Clouds
Rsmix
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13
[CVPR 2021] Rigid Subset Mix (RSMix): Regularization Strategy for Point Cloud via Rigidly Mixed Samples
Lowshot Shapebias
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13
Learning low-shot object classification with explicit shape bias learned from point clouds
Locus
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12
This repository contains the code implementation used in the paper "Locus: LiDAR-based Place Recognition using Spatiotemporal Higher-Order Pooling". Accepted for ICRA 2021.
Patchaugnet
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12
PatchAugNet: Patch feature augmentation-based heterogeneous point cloud place recognition in large-scale street scenes
Point Transformer Cls
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11
My own (unofficial) implementation of the Point Transformer Network, currently for classification tasks.
Predator
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11
An inofficial PyTorch implementation of PREDATOR based on KPConv.
Pcc_patch
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11
(ACM MM ASIA 2021) Patch-Based Deep Autoencoder for Point Cloud Geometry Compression.
Utopic
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11
Uncertainty-aware Overlap Prediction Network for Partial Point Cloud Registration
Riconv2
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11
The official source codes for the riconv++ (IJCV2022) paper
Awesome 3d Object Detection
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10
list of papers, code, datasets and other resources
Banet
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10
Rui Qian, Xin Lai, Xirong Li: BADet: Boundary-Aware 3D Object Detection from Point Clouds (Pattern Recognition 2022: IF=8.518)
Lpf Defense
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10
Code and Data for the paper "LPF-Defense: 3D Adversarial Defense based on Frequency Analysis", PLoS ONE
Shape Guided
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10
Shape-Guided Dual-Memory Learning for 3D Anomaly Detection [ICML2023]
Morton Net
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9
PyTorch implementation to train MortonNet and use it to compute point features. MortonNet is trained in a self-supervised fashion, and the features can be used for general tasks like part or semantic segmentation of point clouds.
Learned Point Cloud Compression For Classification
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9
MMSP 2023
Pointer
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8
A LiDAR-Derived Point Cloud Dataset of One Million English Buildings Linked to Energy Characteristics
Egonn
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8
EgoNN: Egocentric Neural Network for Point Cloud Based 6DoF Relocalization at the City Scale
3d Ml
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8
A versatile framework for 3D machine learning built on Pytorch Lightning and Hydra [looking for contributors!]
Self_supervised_learning_point_clouds
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8
Self-supervised Learning of Point Clouds via Orientation Estimation (3DV 2020)
Finding Your Center
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8
Public repository for paper "Finding Your (3D) Center: 3D object detection using a learned loss"
Ponder
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8
PointNet for Deep Rank: protein-protein interaction scoring using neural networks
Awesome Autolabeling Tools
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8
Papers, code and datasets about deep learning data auto-labeling.
Breaking Bad Dataset.github.io
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8
Project for NeurIPS'22 Dataset Track Paper: Breaking Bad Dataset
Pcc_attr_folding
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7
Folding-based compression of point cloud attributes
Point Planenet
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7
Point-PlaneNet: Plane kernel based convolutional neural network for point clouds analysis
Pointsamplingnet
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7
Point_cloud_completion
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6
Code for my point cloud completion paper in CVF-ICCV2017
Point_cloud_tutorial
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6
This repository contains tutorial code and supplementary note for point cloud processing.
Mbnsf
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5
[3DV 2024] Repository for "Multi-Body Neural Scene Flow", in International Conference on 3D Vision 2024.
Pointsite
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5
PointSite: a point cloud segmentation tool for identification of protein ligand binding atoms
Aerial_pc_classification
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5
Segmentation of urban aerial point clouds with Deep Learning in Pytorch.
Cloud_table
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5
3D generative design with deep learning
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