Papers with Code 아카이브

3D Point Cloud Classification

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전체 기법 전체 데이터셋

하위 태스크: 4
평가표: 5
보존된 평가 기록: 216

코드

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

https://github.com/ajbrock/Generative-and-Discriminative-Voxel-Modeling

공식 코드

Generative and Discriminative Voxel Modeling with Convolutional Neural Networks

https://github.com/ajhamdi/MVTN

공식 코드

MVTN: Multi-View Transformation Network for 3D Shape Recognition

https://github.com/ali-chr/Transductive_ZSL_3D_Point_Cloud

공식 코드

Transductive Zero-Shot Learning for 3D Point Cloud Classification

https://github.com/ali-stanford/pointnet_kan_graphic

공식 코드

PointNet with KAN versus PointNet with MLP for 3D Classification and Segmentation of Point Sets

https://github.com/alibahri94/smart-pc

공식 코드

SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds

https://github.com/apple/ml-kpconvx

공식 코드

KPConvX: Modernizing Kernel Point Convolution with Kernel Attention

https://github.com/artemkomarichev/a-cnn

공식 코드

A-CNN: Annularly Convolutional Neural Networks on Point Clouds

https://github.com/asalarpour/Point_GN

공식 코드

Point-GN: A Non-Parametric Network Using Gaussian Positional Encoding for Point Cloud Classification

https://github.com/asalarpour/point_ln

공식 코드

Point-LN: A Lightweight Framework for Efficient Point Cloud Classification Using Non-Parametric Positional Encoding

https://github.com/asgsaeid/PointMask

공식 코드

PointMask: Towards Interpretable and Bias-Resilient Point Cloud Processing

https://github.com/axeber01/point-tnt

공식 코드

Points to Patches: Enabling the Use of Self-Attention for 3D Shape Recognition

https://github.com/baaivision/uni3d

공식 코드

Uni3D: Exploring Unified 3D Representation at Scale

https://github.com/cgye96/a_closer_look_at_3dfsl

공식 코드

A Closer Look at Few-Shot 3D Point Cloud Classification

https://github.com/changshuowang/GPSFormer

공식 코드

GPSFormer: A Global Perception and Local Structure Fitting-based Transformer for Point Cloud Understanding

https://github.com/chenfengxu714/image2point

공식 코드

Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models

https://github.com/crane-papercode/3dmedpt

공식 코드

3D Medical Point Transformer: Introducing Convolution to Attention Networks for Medical Point Cloud Analysis

https://github.com/cscvlab/InSphereNet

공식 코드

InSphereNet: a Concise Representation and Classification Method for 3D Object

https://github.com/cszyzhang/RISurConv

공식 코드

RISurConv: Rotation Invariant Surface Attention-Augmented Convolutions for 3D Point Cloud Classification and Segmentation

https://github.com/cszyzhang/riconv2

공식 코드

RIConv++: Effective Rotation Invariant Convolutions for 3D Point Clouds Deep Learning

https://github.com/cyysc1998/3D-Pretraining

공식 코드

Self-supervised Point Cloud Representation Learning via Separating Mixed Shapes

https://github.com/dagrawa2/gdnn_code

공식 코드

Densely Connected $G$-invariant Deep Neural Networks with Signed Permutation Representations

https://github.com/deepmind/deepmind-research/tree/master/perceiver

공식 코드

Perceiver: General Perception with Iterative Attention

https://github.com/diegovalsesia/hycore

공식 코드

Rethinking the compositionality of point clouds through regularization in the hyperbolic space

https://github.com/dingxin-zhang/PaRot

공식 코드

PaRot: Patch-Wise Rotation-Invariant Network via Feature Disentanglement and Pose Restoration

https://github.com/dogyoonlee/RSMix-official

공식 코드

Regularization Strategy for Point Cloud via Rigidly Mixed Sample

https://github.com/ds0529/RTN

공식 코드

Rotation Transformation Network: Learning View-Invariant Point Cloud for Classification and Segmentation

https://github.com/engelnico/point-transformer

공식 코드

Point Transformer

https://github.com/fanglaosi/pointmls

공식 코드

ModelNet-O: A Large-Scale Synthetic Dataset for Occlusion-Aware Point Cloud Classification

https://github.com/gfmei/softclu

공식 코드

Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understanding

https://github.com/griegler/octnet

공식 코드

OctNet: Learning Deep 3D Representations at High Resolutions

https://github.com/guochengqian/assanet

공식 코드

ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning

https://github.com/guochengqian/openpoints/blob/master/models/backbone/pointvector.py

공식 코드

PointVector: A Vector Representation In Point Cloud Analysis

https://github.com/guochengqian/pix4point

공식 코드

Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud Understanding

https://github.com/guochengqian/pointnext

공식 코드

PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies

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

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