octree-nn / octformerLinks
OctFormer: Octree-based Transformers for 3D Point Clouds
☆310Updated last week
Alternatives and similar repositories for octformer
Users that are interested in octformer are comparing it to the libraries listed below
Sorting:
- [NeurIPS'22] An official PyTorch implementation of PTv2.☆396Updated 2 years ago
- OpenPoints: a library for easily reproducing point-based methods for point cloud understanding. The engine for [PointNeXt](https://arxiv.…☆369Updated 10 months ago
- (TPAMI 2023) Snowflake Point Deconvolution for Point Cloud Completion and Generation with Skip-Transformer☆176Updated 11 months ago
- [NeurIPS 2023] PointGPT: Auto-regressively Generative Pre-training from Point Clouds☆227Updated 11 months ago
- Official source code of Fast Point Transformer, CVPR 2022☆288Updated 2 years ago
- Octree-based 3D Convolutional Neural Networks☆203Updated 5 months ago
- Official PyTorch implementation of DeLA☆54Updated 11 months ago
- (TPAMI2023) Unsupervised Point Cloud Representation Learning with Deep Neural Networks: A Survey☆209Updated 2 years ago
- This is the official PyTorch implementation of our paper "Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learn…☆80Updated 2 years ago
- [ECCV2022] Masked Autoencoders for Point Cloud Self-supervised Learning☆546Updated 2 months ago
- Official pytorch implementation of "Self-positioning Point-based Transformer for Point Cloud Understanding" (CVPR 2023).☆109Updated 2 months ago
- Official repository for paper "Attention-based Point Cloud Edge Sampling" (APES), Highlight@CVPR 2023☆117Updated 2 months ago
- 🔥GrowSP in PyTorch (CVPR 2023)☆180Updated 2 years ago
- [CVPR 2022] Pre-Training 3D Point Cloud Transformers with Masked Point Modeling☆611Updated 3 months ago
- [T-PAMI 2025] PonderV2: Pave the Way for 3D Foundation Model with A Universal Pre-training Paradigm☆352Updated 2 months ago
- This is a PyTorch implementation of PointMetaBase proposed by our paper "Meta Architecure for Point Cloud Analysis"☆97Updated 2 years ago
- [CVPR2024] OneFormer3D: One Transformer for Unified Point Cloud Segmentation☆468Updated 8 months ago
- ☆85Updated 2 years ago
- Stratified Transformer for 3D Point Cloud Segmentation (CVPR 2022)☆404Updated 2 years ago
- A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion☆167Updated last year
- [ICCV 2023 & IJCV 2025] SVDFormer: Complementing Point Cloud via Self-view Augmentation and Self-structure Dual-generator☆64Updated 3 months ago
- CRA-PCN: Point Cloud Completion with Intra- and Inter-level Cross-Resolution Transformers☆51Updated 9 months ago
- Code for rendering the point cloud figures in paper: "PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows"☆386Updated 5 years ago
- [ NeurIPS 2021 ] Pytorch implementation for "Density-aware Chamfer Distance as a Comprehensive Metric for Point Cloud Completion"☆153Updated 3 years ago
- Code for the paper "PointAttN: You Only Need Attention for Point Cloud Completion"☆109Updated last year
- PyTorch Implementation of PU-Net. PU-Net: Point Cloud Upsampling Network, CVPR 2018☆93Updated last year
- [ACM MM 2024] Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model☆125Updated 3 months ago
- Implementation of PCN(Point Completion Network) in PyTorch.☆179Updated 2 years ago
- This is an unofficial implementation of the Point Transformer paper.☆575Updated 3 years ago
- [NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies☆901Updated last year