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3D Point Cloud Reconstruction

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Encoding and reconstruction of 3D point clouds.

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/hancyran/RPNet

공식 코드

Learning Inner-Group Relations on Point Clouds

https://github.com/hancyran/RepSurf

공식 코드

Surface Representation for Point Clouds

https://github.com/hansen7/OcCo

공식 코드

Unsupervised Point Cloud Pre-Training via Occlusion Completion

https://github.com/haotian-liu/maskpoint

공식 코드

Masked Discrimination for Self-Supervised Learning on Point Clouds

https://github.com/hkust-vgd/scanobjectnn

공식 코드

Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data

https://github.com/hkust-vgd/shellnet

공식 코드

ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics

https://github.com/hlei-ziyan/SPH3D-GCN

공식 코드

Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds

https://github.com/hrzhou2/adaptconv-master

공식 코드

Adaptive Graph Convolution for Point Cloud Analysis

https://github.com/ignf/myria3d

공식 코드

FRACTAL: An Ultra-Large-Scale Aerial Lidar Dataset for 3D Semantic Segmentation of Diverse Landscapes

https://github.com/ignf/pacasam

공식 코드

FRACTAL: An Ultra-Large-Scale Aerial Lidar Dataset for 3D Semantic Segmentation of Diverse Landscapes

https://github.com/itailang/SampleNet

공식 코드

SampleNet: Differentiable Point Cloud Sampling

https://github.com/jerryfeng2003/pointgst

공식 코드

Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning

https://github.com/jiachens/ModelNet40-C

공식 코드

PointCutMix: Regularization Strategy for Point Cloud Classification

https://github.com/jiamang/ibt

공식 코드

Exploiting Inductive Bias in Transformer for Point Cloud Classification and Segmentation

https://github.com/jmiemirza/mate

공식 코드

MATE: Masked Autoencoders are Online 3D Test-Time Learners

https://github.com/kabouzeid/point2vec

공식 코드

point2vec for Self-Supervised Representation Learning on Point Clouds

https://github.com/kaist-avelab/PointStack

공식 코드

Advanced Feature Learning on Point Clouds using Multi-resolution Features and Learnable Pooling

https://github.com/kanezaki/rotationnet

공식 코드

RotationNet: Joint Object Categorization and Pose Estimation Using Multiviews from Unsupervised Viewpoints

https://github.com/kimianoorbakhsh/lpf-defence

공식 코드

LPF-Defense: 3D Adversarial Defense based on Frequency Analysis

https://github.com/kimianoorbakhsh/lpf-defense

공식 코드

LPF-Defense: 3D Adversarial Defense based on Frequency Analysis

https://github.com/layumi/person-reid-3d

공식 코드

Parameter-Efficient Person Re-identification in the 3D Space

https://github.com/lifebeyondexpectations/eccv22-pointmixer

공식 코드

PointMixer: MLP-Mixer for Point Cloud Understanding

https://github.com/lightaime/deep_gcns

공식 코드

DeepGCNs: Making GCNs Go as Deep as CNNs

https://github.com/lightaime/deep_gcns_torch

공식 코드

DeepGCNs: Making GCNs Go as Deep as CNNs

https://github.com/lijx10/SO-Net

공식 코드

SO-Net: Self-Organizing Network for Point Cloud Analysis

https://github.com/liuyyy111/point-rae

공식 코드

Regress Before Construct: Regress Autoencoder for Point Cloud Self-supervised Learning

https://github.com/lorenmt/vsl

공식 코드

Learning a Hierarchical Latent-Variable Model of 3D Shapes

https://github.com/lulutang0608/Point-BERT

공식 코드

Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling

https://github.com/lyqun/FPConv

공식 코드

FPConv: Learning Local Flattening for Point Convolution

https://github.com/lzqsd/TransparentShapeReconstruction

공식 코드

Through the Looking Glass: Neural 3D Reconstruction of Transparent Shapes

https://github.com/ma-xu/pointmlp-pytorch

공식 코드

Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework

https://github.com/maggie0106/Graph-CNN-in-3D-Point-Cloud-Classification

공식 코드

A Graph-CNN for 3D Point Cloud Classification

https://github.com/matrix-asc/dela

공식 코드

Decoupled Local Aggregation for Point Cloud Learning

https://github.com/mcg-nju/app-net

공식 코드

APP-Net: Auxiliary-point-based Push and Pull Operations for Efficient Point Cloud Classification

https://github.com/mcr-peft/ex-mcr

공식 코드

Extending Multi-modal Contrastive Representations

https://github.com/mlvlab/SageMix

공식 코드

SageMix: Saliency-Guided Mixup for Point Clouds

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