OpenCodePapers

3d-point-cloud-classification-on-modelnet40

3D Point Cloud Reconstruction3D Point Cloud Classification
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PaperCodeOverall AccuracyMean AccuracyNumber of paramsFLOPsMean class accuracyModelNameReleaseDate
Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning✓ Link95.3PointGST2024-10-10
Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model✓ Link95.116.9M3.9GMamba3D + Point-MAE2024-04-23
ShapeLLM: Universal 3D Object Understanding for Embodied Interaction✓ Link95.0ReCon++2024-02-27
[]()94.9PointGPT
Point2Vec for Self-Supervised Representation Learning on Point Clouds✓ Link94.892.0point2vec2023-03-29
ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding✓ Link94.792.4ULIP + PointMLP2022-12-10
Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining✓ Link94.7ReCon2023-02-05
Asymmetric Dual Self-Distillation for 3D Self-Supervised Representation Learning✓ Link94.7AsymDSD-B* (no voting)2025-06-26
Surface Representation for Point Clouds✓ Link94.71.48M0.81GRepSurf-U2022-05-11
Rethinking the compositionality of point clouds through regularization in the hyperbolic space✓ Link94.591.9PointMLP+HyCoRe2022-09-21
Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework✓ Link94.591.4PointMLP2022-02-15
Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders✓ Link94.5Point-FEMAE2023-12-17
Rethinking Masked Representation Learning for 3D Point Cloud Understanding✓ Link94.5OTMae3D2024-12-26
Let Images Give You More:Point Cloud Cross-Modal Training for Shape Analysis✓ Link94.491.21.62MPointNet2+PointCMT2022-10-09
Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models✓ Link94.4IDPT2023-04-14
Rethinking Masked Representation Learning for 3D Point Cloud Understanding✓ Link94.3OTMae3D (w/o Voting)2024-12-26
Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning✓ Link94.291.6IAE + DGCNN2022-01-03
Point Transformer V2: Grouped Vector Attention and Partition-based Pooling✓ Link94.291.6PTv22022-10-11
Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis✓ Link94.2CurveNet2021-05-04
ExpPoint-MAE: Better interpretability and performance for self-supervised point cloud transformers✓ Link94.2ExpPoint-MAE2023-06-19
PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders✓ Link94.2PCP-MAE2024-08-16
Learning Inner-Group Relations on Point Clouds✓ Link94.1RPNet2021-08-27
ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding✓ Link94.1ULIP + PointBERT2022-12-10
Regress Before Construct: Regress Autoencoder for Point Cloud Self-supervised Learning✓ Link94.1Point-RAE2023-09-25
Point-JEPA: A Joint Embedding Predictive Architecture for Self-Supervised Learning on Point Cloud✓ Link94.1±0.1Point-JEPA (voting)2024-04-25
Decoupled Local Aggregation for Point Cloud Learning✓ Link94.092.25.3M1.44GDeLA2023-08-31
P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting✓ Link94.091.6P2P2022-08-04
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies✓ Link94.091.14.5M6.5GPointNeXt2022-06-09
PVT: Point-Voxel Transformer for Point Cloud Learning✓ Link94.0Point Voxel Transformer2021-08-13
Masked Autoencoders for Point Cloud Self-supervised Learning✓ Link94.0Point-MAE2022-03-13
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training✓ Link94.0Point-M2AE2022-05-28
ModelNet-O: A Large-Scale Synthetic Dataset for Occlusion-Aware Point Cloud Classification✓ Link94.0PointMLS2024-01-16
3D-JEPA: A Joint Embedding Predictive Architecture for 3D Self-Supervised Representation Learning94.03D-JEPA2024-09-24
MKConv: Multidimensional Feature Representation for Point Cloud Analysis94.05.63MMKConv2021-07-27
Revisiting Point Cloud Classification with a Simple and Effective Baseline✓ Link93.991.8SimpleView2021-01-01
PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds✓ Link93.9PAConv2021-03-26
Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline✓ Link93.9SimpleView-DGCNN2021-06-09
Positional Prompt Tuning for Efficient 3D Representation Learning✓ Link93.88PointMAE+PPT2024-08-21
MVTN: Multi-View Transformation Network for 3D Shape Recognition✓ Link93.892.2MVTN2020-11-26
FG-Net: Fast Large-Scale LiDAR Point Clouds Understanding Network Leveraging Correlated Feature Mining and Geometric-Aware Modelling✓ Link93.891.1Feature Geometric Net (FG-Net)2020-12-17
Geometric Back-projection Network for Point Cloud Classification✓ Link93.891.0GBNet2019-11-28
DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds✓ Link93.891.2DeltaConv2021-11-16
Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud✓ Link93.8GDANet2020-12-20
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling✓ Link93.8Point-BERT2021-11-29
Attention-based Point Cloud Edge Sampling✓ Link93.8APES (global-based downsample)2023-02-28
Point-JEPA: A Joint Embedding Predictive Architecture for Self-Supervised Learning on Point Cloud✓ Link93.8±0.2Point-JEPA (no voting)2024-04-25
Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis✓ Link93.80.8MPoint-PN2023-03-14
PointSCNet: Point Cloud Structure and Correlation Learning Based on Space Filling Curve-Guided Sampling✓ Link93.791.4PointSCNet2022-02-21
PRA-Net: Point Relation-Aware Network for 3D Point Cloud Analysis✓ Link93.791.2PRA-Net2021-12-09
Point Transformer✓ Link93.790.6PointTransformer2020-12-16
DualMLP: a two-stream fusion model for 3D point cloud classification✓ Link93.7DualMLP2023-10-10
PointMixer: MLP-Mixer for Point Cloud Understanding✓ Link93.691.46.5MPointMixer2021-11-22
DeepGCNs: Making GCNs Go as Deep as CNNs✓ Link93.690.92.2MDeepGCN2019-10-15
LCPFormer: Towards Effective 3D Point Cloud Analysis via Local Context Propagation in Transformers✓ Link93.690.7LCPFormer2022-10-23
SageMix: Saliency-Guided Mixup for Point Clouds✓ Link93.6DGCNN + SageMix2022-10-13
PointVector: A Vector Representation In Point Cloud Analysis✓ Link93.591PointVector-S2022-05-21
Regularization Strategy for Point Cloud via Rigidly Mixed Sample✓ Link93.5RSMix2021-02-03
Point Cloud Classification Using Content-based Transformer via Clustering in Feature Space✓ Link93.5PointConT2023-03-08
Attention-based Point Cloud Edge Sampling✓ Link93.5APES (local-based downsample)2023-02-28
DSPoint: Dual-scale Point Cloud Recognition with High-frequency Fusion✓ Link93.51.16MDSPoint2021-11-19
ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding✓ Link93.491.2ULIP + PointNet++(ssg)2022-12-10
PointCutMix: Regularization Strategy for Point Cloud Classification✓ Link93.4PointCutmix2021-01-05
3D Medical Point Transformer: Introducing Convolution to Attention Networks for Medical Point Cloud Analysis✓ Link93.41.54M3DMedPT2021-12-09
Self-supervised Point Cloud Representation Learning via Separating Mixed Shapes✓ Link93.3989.88DGCNN + MD2021-09-01
Self-supervised Point Cloud Representation Learning via Separating Mixed Shapes✓ Link93.3190.71OGNet + MD2021-09-01
Parameter-Efficient Person Re-identification in the 3D Space✓ Link93.390.51.22MOG-Net-Small2020-06-08
Advanced Feature Learning on Point Clouds using Multi-resolution Features and Learnable Pooling✓ Link93.389.6PointStack2022-05-20
SageMix: Saliency-Guided Mixup for Point Clouds✓ Link93.3PointNet++ + SageMix2022-10-13
PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling✓ Link93.2PointASNL2020-03-01
PCT: Point cloud transformer✓ Link93.22.88MPoint Cloud Transformer2020-12-17
Dense-Resolution Network for Point Cloud Classification and Segmentation✓ Link93.1DRNet2020-05-14
ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics✓ Link93.1ShellNet2019-08-17
Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds✓ Link93.1STRL + DGCNN2021-09-01
[]()93.1PatchAugment+DGCNN
AdaCrossNet: Adaptive Dynamic Loss Weighting for Cross-Modal Contrastive Point Cloud Learning✓ Link93.1AdaCrossNet2025-01-02
PointManifold: Using Manifold Learning for Point Cloud Classification93.090.4PointManifold2020-10-14
Interpolated Convolutional Networks for 3D Point Cloud Understanding93.0InterpCNN2019-08-13
Dynamic Graph CNN for Learning on Point Clouds✓ Link92.990.21.81MDGCNN2018-01-24
KPConv: Flexible and Deformable Convolution for Point Clouds✓ Link92.9KPConv2019-04-18
Relation-Shape Convolutional Neural Network for Point Cloud Analysis✓ Link92.9RS-CNN2019-04-16
ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning✓ Link92.9ASSANet2021-10-20
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training✓ Link92.9Point-M2AE-SVM2022-05-28
Point Transformer✓ Link92.8Point Transformer2020-11-02
A-CNN: Annularly Convolutional Neural Networks on Point Clouds✓ Link92.6A-CNN2019-04-16
Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network92.6P2Sequence2018-11-06
Points to Patches: Enabling the Use of Self-Attention for 3D Shape Recognition✓ Link92.63.9MPoint-TnT2022-04-08
PointConv: Deep Convolutional Networks on 3D Point Clouds✓ Link92.5PointConv2018-11-17
PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape Representation✓ Link92.42PolyNet2021-10-15
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters✓ Link92.4SpiderCNN2018-03-30
Point Convolutional Neural Networks by Extension Operators✓ Link92.3PCNN2018-03-27
PointCNN: Convolution On X-Transformed Points✓ Link92.2PointCNN2018-12-01
Point-PlaneNet: Plane kernel based convolutional neural network for point clouds analysis✓ Link92.190.5Point-PlaneNet2020-05-01
Local Spectral Graph Convolution for Point Set Feature Learning✓ Link92.1SpecGCN2018-03-15
Dynamic Local Geometry Capture in 3D PointCloud Classification✓ Link92.1DynamicScale2021-10-19
PointGrid: A Deep Network for 3D Shape Understanding✓ Link92.0PointGrid2018-06-01
Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models✓ Link91.8Kd-Net2017-04-04
General-Purpose Deep Point Cloud Feature Extractor✓ Link91.7G3DNet-18 MLP, Fine-Tuned, Vote2018-03-12
3D Point Cloud Classification and Segmentation using 3D Modified Fisher Vector Representation for Convolutional Neural Networks✓ Link91.63DMFV-Net2017-11-22
CrossMoCo: Multi-modal Momentum Contrastive Learning for Point Cloud✓ Link91.49CrossMoCo2023-06-08
SO-Net: Self-Organizing Network for Point Cloud Analysis✓ Link90.9SO-Net2018-03-12
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space✓ Link90.71.74MPointNet++2017-06-07
Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models✓ Link90.6Kd-net2017-04-04
SageMix: Saliency-Guided Mixup for Point Clouds✓ Link90.3PointNet + SageMix2022-10-13
Multi-view Convolutional Neural Networks for 3D Shape Recognition90.1MVCNN2015-05-05
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation✓ Link89.286.03.47MPointNet2016-12-02
Volumetric and Multi-View CNNs for Object Classification on 3D Data✓ Link89.2Subvolume2016-04-12
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs✓ Link87.483.2ECC2017-04-10
Generative and Discriminative Voxel Modeling with Convolutional Neural Networks✓ Link91.33VRN (multiple views)2016-08-15
Generative and Discriminative Voxel Modeling with Convolutional Neural Networks✓ Link88.98VRN (single view)2016-08-15
3D ShapeNets: A Deep Representation for Volumetric Shapes✓ Link77.33DShapeNets2014-06-22
Perceiver: General Perception with Iterative Attention✓ Link14.3Perceiver2021-03-04
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