octree-nn / octformerLinks
OctFormer: Octree-based Transformers for 3D Point Clouds [SIGGRAPH 2023]
☆332Updated 4 months ago
Alternatives and similar repositories for octformer
Users that are interested in octformer are comparing it to the libraries listed below
Sorting:
- Octree-based 3D Convolutional Neural Networks [SIGGRAPH 2017]☆224Updated last month
- (TPAMI 2023) Snowflake Point Deconvolution for Point Cloud Completion and Generation with Skip-Transformer☆189Updated last year
- [NeurIPS'22] An official PyTorch implementation of PTv2.☆417Updated 2 years ago
- This is the official PyTorch implementation of our paper "Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learn…☆84Updated 2 years ago
- OpenPoints: a library for easily reproducing point-based methods for point cloud understanding. The engine for [PointNeXt](https://arxiv.…☆392Updated last year
- [NeurIPS 2023] PointGPT: Auto-regressively Generative Pre-training from Point Clouds☆230Updated last year
- Official source code of Fast Point Transformer, CVPR 2022☆293Updated 2 years ago
- ProxyFormer (CVPR 2023)☆110Updated 2 years ago
- ☆46Updated last year
- ☆96Updated 3 years ago
- [ICCV 2023 & IJCV 2025] SVDFormer: Complementing Point Cloud via Self-view Augmentation and Self-structure Dual-generator☆73Updated last week
- Official repository for paper "Attention-based Point Cloud Edge Sampling" (APES), Highlight@CVPR 2023☆126Updated 7 months ago
- Official pytorch implementation of "Self-positioning Point-based Transformer for Point Cloud Understanding" (CVPR 2023).☆111Updated 7 months ago
- Stratified Transformer for 3D Point Cloud Segmentation (CVPR 2022)☆423Updated 2 years ago
- CRA-PCN: Point Cloud Completion with Intra- and Inter-level Cross-Resolution Transformers☆55Updated last year
- A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion☆178Updated last year
- (TPAMI2023) Unsupervised Point Cloud Representation Learning with Deep Neural Networks: A Survey☆210Updated 2 years ago
- 🔥GrowSP in PyTorch (CVPR 2023)☆189Updated 2 months ago
- This is a PyTorch implementation of PointMetaBase proposed by our paper "Meta Architecure for Point Cloud Analysis"☆105Updated 2 years ago
- Official PyTorch implementation of DeLA☆60Updated 2 months ago
- Point Cloud Upsampling with Kernel Point Representation and Deformation☆40Updated last year
- Code for the paper "PointAttN: You Only Need Attention for Point Cloud Completion"☆126Updated last year
- [ECCV2022] Masked Autoencoders for Point Cloud Self-supervised Learning☆584Updated 6 months ago
- [T-PAMI 2025] PonderV2: Pave the Way for 3D Foundation Model with A Universal Pre-training Paradigm☆363Updated 3 weeks ago
- [ACM MM 2024] Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model☆134Updated last month
- Score-Based Point Cloud Denoising (ICCV 2021)☆200Updated 3 years ago
- ISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware Sampling and Box-aware Dynamic Convolution (CVPR 2023)☆146Updated 11 months ago
- Code for rendering the point cloud figures in paper: "PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows"☆403Updated 5 years ago
- This is an unofficial implementation of the Point Transformer paper.☆606Updated 3 years ago
- [CVPR 2022] Pre-Training 3D Point Cloud Transformers with Masked Point Modeling☆646Updated 7 months ago