3D Point Cloud Reconstruction on ModelNet40

Metric: Overall Accuracy (higher is better)

LeaderboardDataset

Loading chart...

Results

Hide extra data

Sort:

#	Model↕	Overall Accuracy▼	Extra Data	Paper	Date↕	Code
1	PointGST	95.3	Yes	Parameter-Efficient Fine-Tuning in Spectral Doma...	2024-10-10	Code
2	Mamba3D + Point-MAE	95.1	Yes	Mamba3D: Enhancing Local Features for 3D Point C...	2024-04-23	Code
3	ReCon++	95	Yes	ShapeLLM: Universal 3D Object Understanding for ...	2024-02-27	Code
4	PointGPT	94.9	Yes	-	-	-
5	point2vec	94.8	Yes	Point2Vec for Self-Supervised Representation Lea...	2023-03-29	Code
6	ULIP + PointMLP	94.7	Yes	ULIP: Learning a Unified Representation of Langu...	2022-12-10	Code
7	ReCon	94.7	Yes	Contrast with Reconstruct: Contrastive 3D Repres...	2023-02-05	Code
8	AsymDSD-B* (no voting)	94.7	Yes	Asymmetric Dual Self-Distillation for 3D Self-Su...	2025-06-26	Code
9	RepSurf-U	94.7	No	Surface Representation for Point Clouds	2022-05-11	Code
10	PointMLP+HyCoRe	94.5	No	Rethinking the compositionality of point clouds ...	2022-09-21	Code
11	PointMLP	94.5	No	Rethinking Network Design and Local Geometry in ...	2022-02-15	Code
12	Point-FEMAE	94.5	Yes	Towards Compact 3D Representations via Point Fea...	2023-12-17	Code
13	OTMae3D	94.5	Yes	-	-	Code
14	PointNet2+PointCMT	94.4	No	Let Images Give You More:Point Cloud Cross-Modal...	2022-10-09	Code
15	IDPT	94.4	No	Instance-aware Dynamic Prompt Tuning for Pre-tra...	2023-04-14	Code
16	OTMae3D (w/o Voting)	94.3	Yes	-	-	Code
17	IAE + DGCNN	94.2	Yes	Implicit Autoencoder for Point-Cloud Self-Superv...	2022-01-03	Code
18	PTv2	94.2	No	Point Transformer V2: Grouped Vector Attention a...	2022-10-11	Code
19	CurveNet	94.2	No	Walk in the Cloud: Learning Curves for Point Clo...	2021-05-04	Code
20	ExpPoint-MAE	94.2	Yes	ExpPoint-MAE: Better interpretability and perfor...	2023-06-19	Code
21	PCP-MAE	94.2	No	PCP-MAE: Learning to Predict Centers for Point M...	2024-08-16	Code
22	RPNet	94.1	No	Learning Inner-Group Relations on Point Clouds	2021-08-27	Code
23	ULIP + PointBERT	94.1	Yes	ULIP: Learning a Unified Representation of Langu...	2022-12-10	Code
24	Point-RAE	94.1	Yes	Regress Before Construct: Regress Autoencoder fo...	2023-09-25	Code
25	DeLA	94	No	Decoupled Local Aggregation for Point Cloud Lear...	2023-08-31	Code
26	P2P	94	Yes	P2P: Tuning Pre-trained Image Models for Point C...	2022-08-04	Code
27	PointNeXt	94	No	PointNeXt: Revisiting PointNet++ with Improved T...	2022-06-09	Code
28	Point Voxel Transformer	94	No	PVT: Point-Voxel Transformer for Point Cloud Lea...	2021-08-13	Code
29	Point-MAE	94	Yes	Masked Autoencoders for Point Cloud Self-supervi...	2022-03-13	Code
30	Point-M2AE	94	Yes	Point-M2AE: Multi-scale Masked Autoencoders for ...	2022-05-28	Code
31	PointMLS	94	No	ModelNet-O: A Large-Scale Synthetic Dataset for ...	2024-01-16	Code
32	3D-JEPA	94	No	3D-JEPA: A Joint Embedding Predictive Architectu...	2024-09-24	-
33	MKConv	94	No	MKConv: Multidimensional Feature Representation ...	2021-07-27	-
34	SimpleView	93.9	No	-	-	Code
35	PAConv	93.9	No	PAConv: Position Adaptive Convolution with Dynam...	2021-03-26	Code
36	SimpleView-DGCNN	93.9	No	Revisiting Point Cloud Shape Classification with...	2021-06-09	Code
37	PointMAE+PPT	93.88	No	Positional Prompt Tuning for Efficient 3D Repres...	2024-08-21	Code
38	MVTN	93.8	No	MVTN: Multi-View Transformation Network for 3D S...	2020-11-26	Code
39	Feature Geometric Net (FG-Net)	93.8	No	FG-Net: Fast Large-Scale LiDAR Point Clouds Unde...	2020-12-17	Code
40	GBNet	93.8	No	Geometric Back-projection Network for Point Clou...	2019-11-28	Code
41	DeltaConv	93.8	No	DeltaConv: Anisotropic Operators for Geometric D...	2021-11-16	Code
42	GDANet	93.8	No	Learning Geometry-Disentangled Representation fo...	2020-12-20	Code
43	Point-BERT	93.8	Yes	Point-BERT: Pre-training 3D Point Cloud Transfor...	2021-11-29	Code
44	APES (global-based downsample)	93.8	No	Attention-based Point Cloud Edge Sampling	2023-02-28	Code
45	Point-PN	93.8	No	Parameter is Not All You Need: Starting from Non...	2023-03-14	Code
46	PointSCNet	93.7	No	PointSCNet: Point Cloud Structure and Correlatio...	2022-02-21	Code
47	PRA-Net	93.7	No	PRA-Net: Point Relation-Aware Network for 3D Poi...	2021-12-09	Code
48	PointTransformer	93.7	No	Point Transformer	2020-12-16	Code
49	DualMLP	93.7	No	-	-	Code
50	PointMixer	93.6	No	PointMixer: MLP-Mixer for Point Cloud Understand...	2021-11-22	Code
51	DeepGCN	93.6	No	DeepGCNs: Making GCNs Go as Deep as CNNs	2019-10-15	Code
52	LCPFormer	93.6	No	LCPFormer: Towards Effective 3D Point Cloud Anal...	2022-10-23	Code
53	DGCNN + SageMix	93.6	No	SageMix: Saliency-Guided Mixup for Point Clouds	2022-10-13	Code
54	PointVector-S	93.5	No	PointVector: A Vector Representation In Point Cl...	2022-05-21	Code
55	RSMix	93.5	No	Regularization Strategy for Point Cloud via Rigi...	2021-02-03	Code
56	PointConT	93.5	No	Point Cloud Classification Using Content-based T...	2023-03-08	Code
57	APES (local-based downsample)	93.5	No	Attention-based Point Cloud Edge Sampling	2023-02-28	Code
58	DSPoint	93.5	No	DSPoint: Dual-scale Point Cloud Recognition with...	2021-11-19	Code
59	ULIP + PointNet++(ssg)	93.4	Yes	ULIP: Learning a Unified Representation of Langu...	2022-12-10	Code
60	PointCutmix	93.4	No	PointCutMix: Regularization Strategy for Point C...	2021-01-05	Code
61	3DMedPT	93.4	No	3D Medical Point Transformer: Introducing Convol...	2021-12-09	Code
62	DGCNN + MD	93.39	No	Self-supervised Point Cloud Representation Learn...	2021-09-01	Code
63	OGNet + MD	93.31	No	Self-supervised Point Cloud Representation Learn...	2021-09-01	Code
64	OG-Net-Small	93.3	No	Parameter-Efficient Person Re-identification in ...	2020-06-08	Code
65	PointStack	93.3	No	Advanced Feature Learning on Point Clouds using ...	2022-05-20	Code
66	PointNet++ + SageMix	93.3	No	SageMix: Saliency-Guided Mixup for Point Clouds	2022-10-13	Code
67	PointASNL	93.2	No	PointASNL: Robust Point Clouds Processing using ...	2020-03-01	Code
68	Point Cloud Transformer	93.2	No	PCT: Point cloud transformer	2020-12-17	Code
69	DRNet	93.1	No	Dense-Resolution Network for Point Cloud Classif...	2020-05-14	Code
70	ShellNet	93.1	No	ShellNet: Efficient Point Cloud Convolutional Ne...	2019-08-17	Code
71	STRL + DGCNN	93.1	No	Spatio-temporal Self-Supervised Representation L...	2021-09-01	Code
72	PatchAugment+DGCNN	93.1	No	-	-	-
73	AdaCrossNet	93.1	No	-	-	Code
74	PointManifold	93	No	PointManifold: Using Manifold Learning for Point...	2020-10-14	-
75	InterpCNN	93	No	Interpolated Convolutional Networks for 3D Point...	2019-08-13	-
76	DGCNN	92.9	No	Dynamic Graph CNN for Learning on Point Clouds	2018-01-24	Code
77	KPConv	92.9	No	KPConv: Flexible and Deformable Convolution for ...	2019-04-18	Code
78	RS-CNN	92.9	No	Relation-Shape Convolutional Neural Network for ...	2019-04-16	Code
79	ASSANet	92.9	No	ASSANet: An Anisotropic Separable Set Abstractio...	2021-10-20	Code
80	Point-M2AE-SVM	92.9	Yes	Point-M2AE: Multi-scale Masked Autoencoders for ...	2022-05-28	Code
81	Point Transformer	92.8	No	Point Transformer	2020-11-02	Code
82	A-CNN	92.6	No	A-CNN: Annularly Convolutional Neural Networks o...	2019-04-16	Code
83	P2Sequence	92.6	No	Point2Sequence: Learning the Shape Representatio...	2018-11-06	-
84	Point-TnT	92.6	No	Points to Patches: Enabling the Use of Self-Atte...	2022-04-08	Code
85	PointConv	92.5	No	PointConv: Deep Convolutional Networks on 3D Poi...	2018-11-17	Code
86	PolyNet	92.42	No	PolyNet: Polynomial Neural Network for 3D Shape ...	2021-10-15	Code
87	SpiderCNN	92.4	No	SpiderCNN: Deep Learning on Point Sets with Para...	2018-03-30	Code
88	PCNN	92.3	No	Point Convolutional Neural Networks by Extension...	2018-03-27	Code
89	PointCNN	92.2	No	-	-	Code
90	Point-PlaneNet	92.1	No	-	-	Code
91	SpecGCN	92.1	No	Local Spectral Graph Convolution for Point Set F...	2018-03-15	Code
92	DynamicScale	92.1	No	-	-	Code
93	PointGrid	92	No	-	-	Code
94	Kd-Net	91.8	No	Escape from Cells: Deep Kd-Networks for the Reco...	2017-04-04	Code
95	G3DNet-18 MLP, Fine-Tuned, Vote	91.7	Yes	-	-	Code
96	3DMFV-Net	91.6	No	3D Point Cloud Classification and Segmentation u...	2017-11-22	Code
97	CrossMoCo	91.49	No	-	-	Code
98	SO-Net	90.9	No	SO-Net: Self-Organizing Network for Point Cloud ...	2018-03-12	Code
99	PointNet++	90.7	No	PointNet++: Deep Hierarchical Feature Learning o...	2017-06-07	Code
100	Kd-net	90.6	No	Escape from Cells: Deep Kd-Networks for the Reco...	2017-04-04	Code
101	PointNet + SageMix	90.3	No	SageMix: Saliency-Guided Mixup for Point Clouds	2022-10-13	Code
102	MVCNN	90.1	No	Multi-view Convolutional Neural Networks for 3D ...	2015-05-05	-
103	PointNet	89.2	No	PointNet: Deep Learning on Point Sets for 3D Cla...	2016-12-02	Code
104	Subvolume	89.2	No	Volumetric and Multi-View CNNs for Object Classi...	2016-04-12	Code
105	ECC	87.4	No	Dynamic Edge-Conditioned Filters in Convolutiona...	2017-04-10	Code

#1PointGSTSOTA
95.3
Overall Accuracy· Extra Data· 2024-10-10
Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning Code
#2Mamba3D + Point-MAESOTA
95.1
Overall Accuracy· Extra Data· 2024-04-23
Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model Code
#3ReCon++SOTA
95
Overall Accuracy· Extra Data· 2024-02-27
ShapeLLM: Universal 3D Object Understanding for Embodied Interaction Code
#4PointGPT
94.9
Overall Accuracy· Extra Data
No paper
#5point2vecSOTA
94.8
Overall Accuracy· Extra Data· 2023-03-29
Point2Vec for Self-Supervised Representation Learning on Point Clouds Code
#6ULIP + PointMLP
94.7
Overall Accuracy· Extra Data· 2022-12-10
ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding Code
#7ReCon
94.7
Overall Accuracy· Extra Data· 2023-02-05
Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining Code
#8AsymDSD-B* (no voting)
94.7
Overall Accuracy· Extra Data· 2025-06-26
Asymmetric Dual Self-Distillation for 3D Self-Supervised Representation Learning Code
#9RepSurf-USOTA
94.7
Overall Accuracy· 2022-05-11
Surface Representation for Point Clouds Code
#10PointMLP+HyCoRe
94.5
Overall Accuracy· 2022-09-21
Rethinking the compositionality of point clouds through regularization in the hyperbolic space Code
#11PointMLPSOTA
94.5
Overall Accuracy· 2022-02-15
Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework Code
#12Point-FEMAE
94.5
Overall Accuracy· Extra Data· 2023-12-17
Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders Code
#13OTMae3D
94.5
Overall Accuracy· Extra Data
No paperCode
#14PointNet2+PointCMT
94.4
Overall Accuracy· 2022-10-09
Let Images Give You More:Point Cloud Cross-Modal Training for Shape Analysis Code
#15IDPT
94.4
Overall Accuracy· 2023-04-14
Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models Code
#16OTMae3D (w/o Voting)
94.3
Overall Accuracy· Extra Data
No paperCode
#17IAE + DGCNN
94.2
Overall Accuracy· Extra Data· 2022-01-03
Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning Code
#18PTv2
94.2
Overall Accuracy· 2022-10-11
Point Transformer V2: Grouped Vector Attention and Partition-based Pooling Code
#19CurveNetSOTA
94.2
Overall Accuracy· 2021-05-04
Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis Code
#20ExpPoint-MAE
94.2
Overall Accuracy· Extra Data· 2023-06-19
ExpPoint-MAE: Better interpretability and performance for self-supervised point cloud transformers Code
#21PCP-MAE
94.2
Overall Accuracy· 2024-08-16
PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders Code
#22RPNet
94.1
Overall Accuracy· 2021-08-27
Learning Inner-Group Relations on Point Clouds Code
#23ULIP + PointBERT
94.1
Overall Accuracy· Extra Data· 2022-12-10
ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding Code
#24Point-RAE
94.1
Overall Accuracy· Extra Data· 2023-09-25
Regress Before Construct: Regress Autoencoder for Point Cloud Self-supervised Learning Code
#25DeLA
94
Overall Accuracy· 2023-08-31
Decoupled Local Aggregation for Point Cloud Learning Code
#26P2P
94
Overall Accuracy· Extra Data· 2022-08-04
P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting Code
#27PointNeXt
94
Overall Accuracy· 2022-06-09
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies Code
#28Point Voxel Transformer
94
Overall Accuracy· 2021-08-13
PVT: Point-Voxel Transformer for Point Cloud Learning Code
#29Point-MAE
94
Overall Accuracy· Extra Data· 2022-03-13
Masked Autoencoders for Point Cloud Self-supervised Learning Code
#30Point-M2AE
94
Overall Accuracy· Extra Data· 2022-05-28
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training Code
#31PointMLS
94
Overall Accuracy· 2024-01-16
ModelNet-O: A Large-Scale Synthetic Dataset for Occlusion-Aware Point Cloud Classification Code
#323D-JEPA
94
Overall Accuracy· 2024-09-24
3D-JEPA: A Joint Embedding Predictive Architecture for 3D Self-Supervised Representation Learning
#33MKConv
94
Overall Accuracy· 2021-07-27
MKConv: Multidimensional Feature Representation for Point Cloud Analysis
#34SimpleView
93.9
Overall Accuracy
No paperCode
#35PAConvSOTA
93.9
Overall Accuracy· 2021-03-26
PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds Code
#36SimpleView-DGCNN
93.9
Overall Accuracy· 2021-06-09
Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline Code
#37PointMAE+PPT
93.88
Overall Accuracy· 2024-08-21
Positional Prompt Tuning for Efficient 3D Representation Learning Code
#38MVTN
93.8
Overall Accuracy· 2020-11-26
MVTN: Multi-View Transformation Network for 3D Shape Recognition Code
#39Feature Geometric Net (FG-Net)
93.8
Overall Accuracy· 2020-12-17
FG-Net: Fast Large-Scale LiDAR Point Clouds Understanding Network Leveraging Correlated Feature Mining and Geometric-Aware Modelling Code
#40GBNetSOTA
93.8
Overall Accuracy· 2019-11-28
Geometric Back-projection Network for Point Cloud Classification Code
#41DeltaConv
93.8
Overall Accuracy· 2021-11-16
DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds Code
#42GDANet
93.8
Overall Accuracy· 2020-12-20
Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud Code
#43Point-BERT
93.8
Overall Accuracy· Extra Data· 2021-11-29
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling Code
#44APES (global-based downsample)
93.8
Overall Accuracy· 2023-02-28
Attention-based Point Cloud Edge Sampling Code
#45Point-PN
93.8
Overall Accuracy· 2023-03-14
Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis Code
#46PointSCNet
93.7
Overall Accuracy· 2022-02-21
PointSCNet: Point Cloud Structure and Correlation Learning Based on Space Filling Curve-Guided Sampling Code
#47PRA-Net
93.7
Overall Accuracy· 2021-12-09
PRA-Net: Point Relation-Aware Network for 3D Point Cloud Analysis Code
#48PointTransformer
93.7
Overall Accuracy· 2020-12-16
Point Transformer Code
#49DualMLP
93.7
Overall Accuracy
No paperCode
#50PointMixer
93.6
Overall Accuracy· 2021-11-22
PointMixer: MLP-Mixer for Point Cloud Understanding Code
#51DeepGCNSOTA
93.6
Overall Accuracy· 2019-10-15
DeepGCNs: Making GCNs Go as Deep as CNNs Code
#52LCPFormer
93.6
Overall Accuracy· 2022-10-23
LCPFormer: Towards Effective 3D Point Cloud Analysis via Local Context Propagation in Transformers Code
#53DGCNN + SageMix
93.6
Overall Accuracy· 2022-10-13
SageMix: Saliency-Guided Mixup for Point Clouds Code
#54PointVector-S
93.5
Overall Accuracy· 2022-05-21
PointVector: A Vector Representation In Point Cloud Analysis Code
#55RSMix
93.5
Overall Accuracy· 2021-02-03
Regularization Strategy for Point Cloud via Rigidly Mixed Sample Code
#56PointConT
93.5
Overall Accuracy· 2023-03-08
Point Cloud Classification Using Content-based Transformer via Clustering in Feature Space Code
#57APES (local-based downsample)
93.5
Overall Accuracy· 2023-02-28
Attention-based Point Cloud Edge Sampling Code
#58DSPoint
93.5
Overall Accuracy· 2021-11-19
DSPoint: Dual-scale Point Cloud Recognition with High-frequency Fusion Code
#59ULIP + PointNet++(ssg)
93.4
Overall Accuracy· Extra Data· 2022-12-10
ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding Code
#60PointCutmix
93.4
Overall Accuracy· 2021-01-05
PointCutMix: Regularization Strategy for Point Cloud Classification Code
#613DMedPT
93.4
Overall Accuracy· 2021-12-09
3D Medical Point Transformer: Introducing Convolution to Attention Networks for Medical Point Cloud Analysis Code
#62DGCNN + MD
93.39
Overall Accuracy· 2021-09-01
Self-supervised Point Cloud Representation Learning via Separating Mixed Shapes Code
#63OGNet + MD
93.31
Overall Accuracy· 2021-09-01
Self-supervised Point Cloud Representation Learning via Separating Mixed Shapes Code
#64OG-Net-Small
93.3
Overall Accuracy· 2020-06-08
Parameter-Efficient Person Re-identification in the 3D Space Code
#65PointStack
93.3
Overall Accuracy· 2022-05-20
Advanced Feature Learning on Point Clouds using Multi-resolution Features and Learnable Pooling Code
#66PointNet++ + SageMix
93.3
Overall Accuracy· 2022-10-13
SageMix: Saliency-Guided Mixup for Point Clouds Code
#67PointASNL
93.2
Overall Accuracy· 2020-03-01
PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling Code
#68Point Cloud Transformer
93.2
Overall Accuracy· 2020-12-17
PCT: Point cloud transformer Code
#69DRNet
93.1
Overall Accuracy· 2020-05-14
Dense-Resolution Network for Point Cloud Classification and Segmentation Code
#70ShellNetSOTA
93.1
Overall Accuracy· 2019-08-17
ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics Code
#71STRL + DGCNN
93.1
Overall Accuracy· 2021-09-01
Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds Code
#72PatchAugment+DGCNN
93.1
Overall Accuracy
No paper
#73AdaCrossNet
93.1
Overall Accuracy
No paperCode
#74PointManifold
93
Overall Accuracy· 2020-10-14
PointManifold: Using Manifold Learning for Point Cloud Classification
#75InterpCNNSOTA
93
Overall Accuracy· 2019-08-13
Interpolated Convolutional Networks for 3D Point Cloud Understanding
#76DGCNNSOTA
92.9
Overall Accuracy· 2018-01-24
Dynamic Graph CNN for Learning on Point Clouds Code
#77KPConv
92.9
Overall Accuracy· 2019-04-18
KPConv: Flexible and Deformable Convolution for Point Clouds Code
#78RS-CNN
92.9
Overall Accuracy· 2019-04-16
Relation-Shape Convolutional Neural Network for Point Cloud Analysis Code
#79ASSANet
92.9
Overall Accuracy· 2021-10-20
ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning Code
#80Point-M2AE-SVM
92.9
Overall Accuracy· Extra Data· 2022-05-28
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training Code
#81Point Transformer
92.8
Overall Accuracy· 2020-11-02
Point Transformer Code
#82A-CNN
92.6
Overall Accuracy· 2019-04-16
A-CNN: Annularly Convolutional Neural Networks on Point Clouds Code
#83P2Sequence
92.6
Overall Accuracy· 2018-11-06
Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network
#84Point-TnT
92.6
Overall Accuracy· 2022-04-08
Points to Patches: Enabling the Use of Self-Attention for 3D Shape Recognition Code
#85PointConv
92.5
Overall Accuracy· 2018-11-17
PointConv: Deep Convolutional Networks on 3D Point Clouds Code
#86PolyNet
92.42
Overall Accuracy· 2021-10-15
PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape Representation Code
#87SpiderCNN
92.4
Overall Accuracy· 2018-03-30
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters Code
#88PCNN
92.3
Overall Accuracy· 2018-03-27
Point Convolutional Neural Networks by Extension Operators Code
#89PointCNN
92.2
Overall Accuracy
No paperCode
#90Point-PlaneNet
92.1
Overall Accuracy
No paperCode
#91SpecGCN
92.1
Overall Accuracy· 2018-03-15
Local Spectral Graph Convolution for Point Set Feature Learning Code
#92DynamicScale
92.1
Overall Accuracy
No paperCode
#93PointGrid
92
Overall Accuracy
No paperCode
#94Kd-NetSOTA
91.8
Overall Accuracy· 2017-04-04
Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models Code
#95G3DNet-18 MLP, Fine-Tuned, Vote
91.7
Overall Accuracy· Extra Data
No paperCode
#963DMFV-Net
91.6
Overall Accuracy· 2017-11-22
3D Point Cloud Classification and Segmentation using 3D Modified Fisher Vector Representation for Convolutional Neural Networks Code
#97CrossMoCo
91.49
Overall Accuracy
No paperCode
#98SO-Net
90.9
Overall Accuracy· 2018-03-12
SO-Net: Self-Organizing Network for Point Cloud Analysis Code
#99PointNet++
90.7
Overall Accuracy· 2017-06-07
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space Code
#100Kd-net
90.6
Overall Accuracy· 2017-04-04
Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models Code
#101PointNet + SageMix
90.3
Overall Accuracy· 2022-10-13
SageMix: Saliency-Guided Mixup for Point Clouds Code
#102MVCNNSOTA
90.1
Overall Accuracy· 2015-05-05
Multi-view Convolutional Neural Networks for 3D Shape Recognition
#103PointNet
89.2
Overall Accuracy· 2016-12-02
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation Code
#104Subvolume
89.2
Overall Accuracy· 2016-04-12
Volumetric and Multi-View CNNs for Object Classification on 3D Data Code
#105ECC
87.4
Overall Accuracy· 2017-04-10
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs Code