[CVPR 2023] Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis
☆537Apr 9, 2024Updated last year
Alternatives and similar repositories for Point-NN
Users that are interested in Point-NN are comparing it to the libraries listed below
Sorting:
- [CVPR2024 Hightlight] No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D Scene Segmentation☆118Apr 20, 2024Updated last year
- [CVPR 2023] Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders☆225Aug 10, 2023Updated 2 years ago
- [NeurIPS 2022] Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training☆223May 4, 2023Updated 2 years ago
- [NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies☆1,000Dec 1, 2023Updated 2 years ago
- Pointcept: Perceive the world with sparse points, a codebase for point cloud perception research. Latest works: Concerto (NeurIPS'25), So…☆2,841Updated this week
- [ICCV 2023] PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning☆284Aug 12, 2025Updated 6 months ago
- [CVPR 2022] PointCLIP: Point Cloud Understanding by CLIP☆406Nov 24, 2022Updated 3 years ago
- [ICLR 2022 poster] Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP…☆588Feb 2, 2025Updated last year
- [CVPR'24 Oral] Official repository of Point Transformer V3 (PTv3)☆1,683Oct 24, 2025Updated 4 months ago
- [NeurIPS 2024] PointMamba: A Simple State Space Model for Point Cloud Analysis☆518Mar 19, 2025Updated 11 months ago
- [ECCV2022] Masked Autoencoders for Point Cloud Self-supervised Learning☆616Mar 31, 2025Updated 11 months ago
- [NeurIPS 2023] PointGPT: Auto-regressively Generative Pre-training from Point Clouds☆242Jul 1, 2024Updated last year
- Adaptive Graph Convolution for Point Cloud Analysis☆125Oct 28, 2021Updated 4 years ago
- [NeurIPS'22] An official PyTorch implementation of PTv2.☆429Jun 4, 2023Updated 2 years ago
- OpenPoints: a library for easily reproducing point-based methods for point cloud understanding. The engine for [ASSANet](https://arxiv.or…☆407Aug 4, 2024Updated last year
- Papers and Datasets about Point Cloud.☆2,885Aug 30, 2024Updated last year
- [ICML 2023] Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining☆153Jul 21, 2024Updated last year
- A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)☆799Oct 29, 2022Updated 3 years ago
- OctFormer: Octree-based Transformers for 3D Point Clouds [SIGGRAPH 2023]☆348Nov 15, 2025Updated 3 months ago
- Official repository for paper "Attention-based Point Cloud Edge Sampling" (APES), Highlight@CVPR 2023☆133Mar 26, 2025Updated 11 months ago
- Official PyTorch implementation of Superpoint Transformer introduced in [ICCV'23] "Efficient 3D Semantic Segmentation with Superpoint Tra…☆963Updated this week
- Official WACV 2025 code for Point-GN: A non-parametric, training-free method for 3D point cloud classification using Gaussian Positional …☆15Jul 22, 2025Updated 7 months ago
- Stratified Transformer for 3D Point Cloud Segmentation (CVPR 2022)☆431Jan 7, 2023Updated 3 years ago
- Official pytorch implementation of "Self-positioning Point-based Transformer for Point Cloud Understanding" (CVPR 2023).☆114Mar 27, 2025Updated 11 months ago
- Align 3D Point Cloud with Multi-modalities for Large Language Models☆459Dec 9, 2023Updated 2 years ago
- [CVPR 2022] Pre-Training 3D Point Cloud Transformers with Masked Point Modeling☆670Mar 22, 2025Updated 11 months ago
- PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.☆4,725Apr 24, 2024Updated last year
- [ECCV 2022] Official pytorch implementation of the paper, "PointMixer: MLP-Mixer for Point Cloud Understanding"☆110Oct 25, 2023Updated 2 years ago
- [ICCV 2023] Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models☆44Jul 30, 2024Updated last year
- (CVPR 2021) PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds☆306Dec 25, 2023Updated 2 years ago
- [ICCV 2021] Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis☆191Mar 5, 2025Updated 11 months ago
- [NeurIPS'23 Spotlight] Segment Any Point Cloud Sequences by Distilling Vision Foundation Models☆641Dec 16, 2023Updated 2 years ago
- [ICCV 2023] CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-training☆128Jan 18, 2024Updated 2 years ago
- ☆583Jan 21, 2026Updated last month
- [IEEE TPAMI] Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning☆386Jan 15, 2026Updated last month
- A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!☆1,585Apr 10, 2024Updated last year
- [ACM MM 2024] Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model☆152Sep 20, 2025Updated 5 months ago
- ☆20Sep 27, 2024Updated last year
- [ICCV 2023] "Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning"☆103Jul 22, 2025Updated 7 months ago