3D Point Cloud Reconstruction on ModelNet40

Metric: Mean Accuracy (higher is better)

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#	Model↕	Mean Accuracy▼	Extra Data	Paper	Date↕	Code
1	ULIP + PointMLP	92.4	Yes	ULIP: Learning a Unified Representation of Langu...	2022-12-10	Code
2	DeLA	92.2	No	Decoupled Local Aggregation for Point Cloud Lear...	2023-08-31	Code
3	MVTN	92.2	No	MVTN: Multi-View Transformation Network for 3D S...	2020-11-26	Code
4	point2vec	92	Yes	Point2Vec for Self-Supervised Representation Lea...	2023-03-29	Code
5	PointMLP+HyCoRe	91.9	No	Rethinking the compositionality of point clouds ...	2022-09-21	Code
6	SimpleView	91.8	No	-	-	Code
7	IAE + DGCNN	91.6	Yes	Implicit Autoencoder for Point-Cloud Self-Superv...	2022-01-03	Code
8	PTv2	91.6	No	Point Transformer V2: Grouped Vector Attention a...	2022-10-11	Code
9	P2P	91.6	Yes	P2P: Tuning Pre-trained Image Models for Point C...	2022-08-04	Code
10	PointMLP	91.4	No	Rethinking Network Design and Local Geometry in ...	2022-02-15	Code
11	PointSCNet	91.4	No	PointSCNet: Point Cloud Structure and Correlatio...	2022-02-21	Code
12	PointMixer	91.4	No	PointMixer: MLP-Mixer for Point Cloud Understand...	2021-11-22	Code
13	VRN (multiple views)	91.33	No	Generative and Discriminative Voxel Modeling wit...	2016-08-15	Code
14	PointNet2+PointCMT	91.2	No	Let Images Give You More:Point Cloud Cross-Modal...	2022-10-09	Code
15	PRA-Net	91.2	No	PRA-Net: Point Relation-Aware Network for 3D Poi...	2021-12-09	Code
16	ULIP + PointNet++(ssg)	91.2	Yes	ULIP: Learning a Unified Representation of Langu...	2022-12-10	Code
17	PointNeXt	91.1	No	PointNeXt: Revisiting PointNet++ with Improved T...	2022-06-09	Code
18	Feature Geometric Net (FG-Net)	91.1	No	FG-Net: Fast Large-Scale LiDAR Point Clouds Unde...	2020-12-17	Code
19	GBNet	91	No	Geometric Back-projection Network for Point Clou...	2019-11-28	Code
20	PointVector-S	91	No	PointVector: A Vector Representation In Point Cl...	2022-05-21	Code
21	DeepGCN	90.9	No	DeepGCNs: Making GCNs Go as Deep as CNNs	2019-10-15	Code
22	OGNet + MD	90.71	No	Self-supervised Point Cloud Representation Learn...	2021-09-01	Code
23	LCPFormer	90.7	No	LCPFormer: Towards Effective 3D Point Cloud Anal...	2022-10-23	Code
24	PointTransformer	90.6	No	Point Transformer	2020-12-16	Code
25	OG-Net-Small	90.5	No	Parameter-Efficient Person Re-identification in ...	2020-06-08	Code
26	Point-PlaneNet	90.5	No	-	-	Code
27	PointManifold	90.4	No	PointManifold: Using Manifold Learning for Point...	2020-10-14	-
28	DGCNN	90.2	No	Dynamic Graph CNN for Learning on Point Clouds	2018-01-24	Code
29	DGCNN + MD	89.88	No	Self-supervised Point Cloud Representation Learn...	2021-09-01	Code
30	PointStack	89.6	No	Advanced Feature Learning on Point Clouds using ...	2022-05-20	Code
31	VRN (single view)	88.98	No	Generative and Discriminative Voxel Modeling wit...	2016-08-15	Code
32	PointNet	86	No	PointNet: Deep Learning on Point Sets for 3D Cla...	2016-12-02	Code
33	ECC	83.2	No	Dynamic Edge-Conditioned Filters in Convolutiona...	2017-04-10	Code
34	3DShapeNets	77.3	No	3D ShapeNets: A Deep Representation for Volumetr...	2014-06-22	Code
35	Perceiver	14.3	No	Perceiver: General Perception with Iterative Att...	2021-03-04	Code

#1ULIP + PointMLPSOTA
92.4
Mean Accuracy· Extra Data· 2022-12-10
ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding Code
#2DeLA
92.2
Mean Accuracy· 2023-08-31
Decoupled Local Aggregation for Point Cloud Learning Code
#3MVTNSOTA
92.2
Mean Accuracy· 2020-11-26
MVTN: Multi-View Transformation Network for 3D Shape Recognition Code
#4point2vec
92
Mean Accuracy· Extra Data· 2023-03-29
Point2Vec for Self-Supervised Representation Learning on Point Clouds Code
#5PointMLP+HyCoRe
91.9
Mean Accuracy· 2022-09-21
Rethinking the compositionality of point clouds through regularization in the hyperbolic space Code
#6SimpleView
91.8
Mean Accuracy
No paperCode
#7IAE + DGCNN
91.6
Mean Accuracy· Extra Data· 2022-01-03
Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning Code
#8PTv2
91.6
Mean Accuracy· 2022-10-11
Point Transformer V2: Grouped Vector Attention and Partition-based Pooling Code
#9P2P
91.6
Mean Accuracy· Extra Data· 2022-08-04
P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting Code
#10PointMLP
91.4
Mean Accuracy· 2022-02-15
Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework Code
#11PointSCNet
91.4
Mean Accuracy· 2022-02-21
PointSCNet: Point Cloud Structure and Correlation Learning Based on Space Filling Curve-Guided Sampling Code
#12PointMixer
91.4
Mean Accuracy· 2021-11-22
PointMixer: MLP-Mixer for Point Cloud Understanding Code
#13VRN (multiple views)SOTA
91.33
Mean Accuracy· 2016-08-15
Generative and Discriminative Voxel Modeling with Convolutional Neural Networks Code
#14PointNet2+PointCMT
91.2
Mean Accuracy· 2022-10-09
Let Images Give You More:Point Cloud Cross-Modal Training for Shape Analysis Code
#15PRA-Net
91.2
Mean Accuracy· 2021-12-09
PRA-Net: Point Relation-Aware Network for 3D Point Cloud Analysis Code
#16ULIP + PointNet++(ssg)
91.2
Mean Accuracy· Extra Data· 2022-12-10
ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding Code
#17PointNeXt
91.1
Mean Accuracy· 2022-06-09
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies Code
#18Feature Geometric Net (FG-Net)
91.1
Mean Accuracy· 2020-12-17
FG-Net: Fast Large-Scale LiDAR Point Clouds Understanding Network Leveraging Correlated Feature Mining and Geometric-Aware Modelling Code
#19GBNet
91
Mean Accuracy· 2019-11-28
Geometric Back-projection Network for Point Cloud Classification Code
#20PointVector-S
91
Mean Accuracy· 2022-05-21
PointVector: A Vector Representation In Point Cloud Analysis Code
#21DeepGCN
90.9
Mean Accuracy· 2019-10-15
DeepGCNs: Making GCNs Go as Deep as CNNs Code
#22OGNet + MD
90.71
Mean Accuracy· 2021-09-01
Self-supervised Point Cloud Representation Learning via Separating Mixed Shapes Code
#23LCPFormer
90.7
Mean Accuracy· 2022-10-23
LCPFormer: Towards Effective 3D Point Cloud Analysis via Local Context Propagation in Transformers Code
#24PointTransformer
90.6
Mean Accuracy· 2020-12-16
Point Transformer Code
#25OG-Net-Small
90.5
Mean Accuracy· 2020-06-08
Parameter-Efficient Person Re-identification in the 3D Space Code
#26Point-PlaneNet
90.5
Mean Accuracy
No paperCode
#27PointManifold
90.4
Mean Accuracy· 2020-10-14
PointManifold: Using Manifold Learning for Point Cloud Classification
#28DGCNN
90.2
Mean Accuracy· 2018-01-24
Dynamic Graph CNN for Learning on Point Clouds Code
#29DGCNN + MD
89.88
Mean Accuracy· 2021-09-01
Self-supervised Point Cloud Representation Learning via Separating Mixed Shapes Code
#30PointStack
89.6
Mean Accuracy· 2022-05-20
Advanced Feature Learning on Point Clouds using Multi-resolution Features and Learnable Pooling Code
#31VRN (single view)
88.98
Mean Accuracy· 2016-08-15
Generative and Discriminative Voxel Modeling with Convolutional Neural Networks Code
#32PointNet
86
Mean Accuracy· 2016-12-02
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation Code
#33ECC
83.2
Mean Accuracy· 2017-04-10
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs Code
#343DShapeNetsSOTA
77.3
Mean Accuracy· 2014-06-22
3D ShapeNets: A Deep Representation for Volumetric Shapes Code
#35Perceiver
14.3
Mean Accuracy· 2021-03-04
Perceiver: General Perception with Iterative Attention Code