| 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 |