| 1 | OmniVec2 | 97.2 | Yes | - | - | - |
| 2 | PointGST | 96.18 | Yes | Parameter-Efficient Fine-Tuning in Spectral Doma... | 2024-10-10 | Code |
| 3 | OmniVec | 96.1 | Yes | OmniVec: Learning robust representations with cr... | 2023-11-07 | - |
| 4 | GPSFormer | 95.4 | No | GPSFormer: A Global Perception and Local Structu... | 2024-07-18 | Code |
| 5 | ReCon++ | 95.25 | Yes | ShapeLLM: Universal 3D Object Understanding for ... | 2024-02-27 | Code |
| 6 | AsymDSD-B* (no voting) | 93.72 | Yes | Asymmetric Dual Self-Distillation for 3D Self-Su... | 2025-06-26 | Code |
| 7 | PointGPT | 93.4 | Yes | PointGPT: Auto-regressively Generative Pre-train... | 2023-05-19 | Code |
| 8 | GPSFormer-elite | 93.3 | No | GPSFormer: A Global Perception and Local Structu... | 2024-07-18 | Code |
| 9 | Mamba3D | 92.64 | No | Mamba3D: Enhancing Local Features for 3D Point C... | 2024-04-23 | Code |
| 10 | Mamba3D (no voting) | 91.81 | No | Mamba3D: Enhancing Local Features for 3D Point C... | 2024-04-23 | Code |
| 11 | ULIP-2 + PointNeXt | 91.5 | Yes | ULIP-2: Towards Scalable Multimodal Pre-training... | 2023-05-14 | Code |
| 12 | ReCon | 91.26 | Yes | Contrast with Reconstruct: Contrastive 3D Repres... | 2023-02-05 | Code |
| 13 | ULIP-2 + PointNeXt (no voting) | 90.8 | Yes | ULIP-2: Towards Scalable Multimodal Pre-training... | 2023-05-14 | Code |
| 14 | ReCon (no voting) | 90.63 | Yes | Contrast with Reconstruct: Contrastive 3D Repres... | 2023-02-05 | Code |
| 15 | AsymDSD-S (no voting) | 90.53 | Yes | Asymmetric Dual Self-Distillation for 3D Self-Su... | 2025-06-26 | Code |
| 16 | DeLA | 90.4 | No | Decoupled Local Aggregation for Point Cloud Lear... | 2023-08-31 | Code |
| 17 | PCP-MAE | 90.35 | No | PCP-MAE: Learning to Predict Centers for Point M... | 2024-08-16 | Code |
| 18 | PointConT | 90.3 | No | Point Cloud Classification Using Content-based T... | 2023-03-08 | Code |
| 19 | Point-RAE (no voting) | 90.28 | Yes | Regress Before Construct: Regress Autoencoder fo... | 2023-09-25 | Code |
| 20 | Point-FEMAE | 90.22 | Yes | Towards Compact 3D Representations via Point Fea... | 2023-12-17 | Code |
| 21 | I2P-MAE (no voting) | 90.11 | Yes | Learning 3D Representations from 2D Pre-trained ... | 2022-12-13 | Code |
| 22 | ULIP + PointNeXt | 89.7 | Yes | ULIP: Learning a Unified Representation of Langu... | 2022-12-10 | Code |
| 23 | ReCon+PPT | 89.52 | No | Positional Prompt Tuning for Efficient 3D Repres... | 2024-08-21 | Code |
| 24 | 3D-JEPA | 89.52 | Yes | 3D-JEPA: A Joint Embedding Predictive Architectu... | 2024-09-24 | - |
| 25 | PointMLP∗ + JM3D | 89.5 | Yes | Beyond First Impressions: Integrating Joint Mult... | 2023-08-06 | Code |
| 26 | ULIP + PointMLP | 89.4 | Yes | ULIP: Learning a Unified Representation of Langu... | 2022-12-10 | Code |
| 27 | KPConvX-L | 89.3 | No | KPConvX: Modernizing Kernel Point Convolution wi... | 2024-05-21 | Code |
| 28 | P2P | 89.3 | Yes | P2P: Tuning Pre-trained Image Models for Point C... | 2022-08-04 | Code |
| 29 | ACT | 89.17 | Yes | Autoencoders as Cross-Modal Teachers: Can Pretra... | 2022-12-16 | Code |
| 30 | Ours | 89 | No | - | - | - |
| 31 | OTMae3D | 89 | Yes | - | - | Code |
| 32 | ULIP-2 + Point-BERT | 89 | Yes | ULIP-2: Towards Scalable Multimodal Pre-training... | 2023-05-14 | Code |
| 33 | PointNeXt+Local | 88.6 | No | Local Neighborhood Features for 3D Classification | 2022-12-09 | Code |
| 34 | SPoTr | 88.6 | No | Self-positioning Point-based Transformer for Poi... | 2023-03-29 | Code |
| 35 | IDPT | 88.51 | No | Instance-aware Dynamic Prompt Tuning for Pre-tra... | 2023-04-14 | Code |
| 36 | PointMLP+TAP | 88.5 | No | Take-A-Photo: 3D-to-2D Generative Pre-training o... | 2023-07-27 | Code |
| 37 | PointNeXt+GAM | 88.4 | No | - | - | - |
| 38 | PointNeXt+HyCoRe | 88.3 | No | Rethinking the compositionality of point clouds ... | 2022-09-21 | Code |
| 39 | ACT (no voting) | 88.21 | Yes | Autoencoders as Cross-Modal Teachers: Can Pretra... | 2022-12-16 | Code |
| 40 | PointNeXt | 88.2 | No | PointNeXt: Revisiting PointNet++ with Improved T... | 2022-06-09 | Code |
| 41 | PointConT (no voting) | 88 | No | Point Cloud Classification Using Content-based T... | 2023-03-08 | Code |
| 42 | PointVector-S | 87.8 | No | PointVector: A Vector Representation In Point Cl... | 2022-05-21 | Code |
| 43 | point2vec | 87.5 | Yes | Point2Vec for Self-Supervised Representation Lea... | 2023-03-29 | Code |
| 44 | PointStack | 87.2 | No | Advanced Feature Learning on Point Clouds using ... | 2022-05-20 | Code |
| 45 | Point-PN | 87.1 | No | Parameter is Not All You Need: Starting from Non... | 2023-03-14 | Code |
| 46 | PointCMT | 86.7 | No | Let Images Give You More:Point Cloud Cross-Modal... | 2022-10-09 | Code |
| 47 | Point-JEPA | 86.6 | Yes | Point-JEPA: A Joint Embedding Predictive Archite... | 2024-04-25 | Code |
| 48 | PointMLS | 86.6 | No | ModelNet-O: A Large-Scale Synthetic Dataset for ... | 2024-01-16 | Code |
| 49 | Point-M2AE | 86.43 | Yes | Point-M2AE: Multi-scale Masked Autoencoders for ... | 2022-05-28 | Code |
| 50 | ULIP + PointBERT | 86.4 | Yes | ULIP: Learning a Unified Representation of Langu... | 2022-12-10 | Code |
| 51 | DualMLP | 86.4 | No | - | - | Code |
| 52 | RepSurf-U (2x) | 86 | No | Surface Representation for Point Clouds | 2022-05-11 | Code |
| 53 | PointMLP | 85.7 | No | Rethinking Network Design and Local Geometry in ... | 2022-02-15 | Code |
| 54 | Point-LGMask | 85.3 | Yes | - | - | Code |
| 55 | Point-MAE | 85.2 | Yes | Masked Autoencoders for Point Cloud Self-supervi... | 2022-03-13 | Code |
| 56 | MVTN+SimpleView++ | 84.8 | No | - | - | Code |
| 57 | DeltaConv | 84.7 | No | DeltaConv: Anisotropic Operators for Geometric D... | 2021-11-16 | Code |
| 58 | RepSurf-U | 84.6 | No | Surface Representation for Point Clouds | 2022-05-11 | Code |
| 59 | APP-Net | 84.1 | No | APP-Net: Auxiliary-point-based Push and Pull Ope... | 2022-05-02 | Code |
| 60 | PointMLP-elite | 83.8 | No | Rethinking Network Design and Local Geometry in ... | 2022-02-15 | Code |
| 61 | PointNet++ + SageMix | 83.7 | No | SageMix: Saliency-Guided Mixup for Point Clouds | 2022-10-13 | Code |
| 62 | DGCNN + SageMix | 83.6 | No | SageMix: Saliency-Guided Mixup for Point Clouds | 2022-10-13 | Code |
| 63 | Point-TnT | 83.5 | No | Points to Patches: Enabling the Use of Self-Atte... | 2022-04-08 | Code |
| 64 | Point-BERT | 83.1 | Yes | Point-BERT: Pre-training 3D Point Cloud Transfor... | 2021-11-29 | Code |
| 65 | MVTN | 82.8 | No | MVTN: Multi-View Transformation Network for 3D S... | 2020-11-26 | Code |
| 66 | PRA-Net | 82.1 | No | PRA-Net: Point Relation-Aware Network for 3D Poi... | 2021-12-09 | Code |
| 67 | DynamicScale | 82 | No | - | - | Code |
| 68 | PatchAugment | 81 | No | - | - | Code |
| 69 | GBNet | 80.5 | No | Geometric Back-projection Network for Point Clou... | 2019-11-28 | Code |
| 70 | SimpleView | 80.5 | No | - | - | Code |
| 71 | DRNet | 80.3 | No | Dense-Resolution Network for Point Cloud Classif... | 2020-05-14 | Code |
| 72 | PointCNN | 78.5 | No | PointCNN: Convolution On $\mathcal{X}$-Transform... | 2018-01-23 | Code |
| 73 | DGCNN | 78.1 | No | Dynamic Graph CNN for Learning on Point Clouds | 2018-01-24 | Code |
| 74 | PointNet++ | 77.9 | No | PointNet++: Deep Hierarchical Feature Learning o... | 2017-06-07 | Code |
| 75 | SpiderCNN | 73.7 | No | SpiderCNN: Deep Learning on Point Sets with Para... | 2018-03-30 | Code |
| 76 | PointNet | 68.2 | No | PointNet: Deep Learning on Point Sets for 3D Cla... | 2016-12-02 | Code |