Alternatives and similar repositories for PointCloudTransformer:

Users that are interested in PointCloudTransformer are comparing it to the libraries listed below

• SMohammadi89 / PointView-GCN
  The code and dataset will be available soon here
  ☆60Updated 2 years ago
• Strawberry-Eat-Mango / PCT_Pytorch
  Pytorch implementation of PCT: Point Cloud Transformer
  ☆359Updated 3 years ago
• nicolas-chaulet / torch-points3d
  Pytorch framework for doing deep learning on point clouds.
  ☆227Updated 3 years ago
• qinglew / PCN-PyTorch
  Implementation of PCN(Point Completion Network) in PyTorch.
  ☆162Updated 2 years ago
• xiaoaoran / 3d_url_survey
  (TPAMI2023) Unsupervised Point Cloud Representation Learning with Deep Neural Networks: A Survey
  ☆206Updated last year
• engelnico / point-transformer
  This is the official repository of the original Point Transformer architecture.
  ☆39Updated 2 years ago
• LiyaoTang / contrastBoundary
  Contrastive Boundary Learning for Point Cloud Segmentation (CVPR2022)
  ☆147Updated last year
• guochengqian / openpoints
  OpenPoints: a library for easily reproducing point-based methods for point cloud understanding. The engine for [PointNeXt](https://arxiv.…
  ☆321Updated 5 months ago
• daveredrum / Pointnet2.ScanNet
  PointNet++ Semantic Segmentation on ScanNet in PyTorch with CUDA acceleration
  ☆137Updated last year
• tiangexiang / CurveNet
  [ICCV 2021] Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis
  ☆180Updated 2 years ago
• LongerVision / PointStack
  Advanced Feature Learning on Point Clouds using Multi-resolution Features and Learnable Pooling
  ☆15Updated 2 years ago
• qiqihaer / RandLA-Net-pytorch
  RandLA-Net's implementation with Pytorch
  ☆128Updated 4 years ago
• POSTECH-CVLab / point-transformer
  This is an unofficial implementation of the Point Transformer paper.
  ☆528Updated 2 years ago
• POSTECH-CVLab / FastPointTransformer
  Official source code of Fast Point Transformer, CVPR 2022
  ☆279Updated last year
• mutianxu / GDANet
  Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud. (AAAI2021)
  ☆67Updated 3 weeks ago
• mlvlab / SPoTr
  Official pytorch implementation of "Self-positioning Point-based Transformer for Point Cloud Understanding" (CVPR 2023).
  ☆100Updated last month
• qinzheng93 / Easy-KPConv
  A more easy-to-use implementation of KPConv
  ☆75Updated 2 years ago
• Na-Z / attMPTI
  [CVPR 2021] Few-shot 3D Point Cloud Semantic Segmentation
  ☆169Updated last year
• Pointcept / PointTransformerV2
  [NeurIPS'22] An official PyTorch implementation of PTv2.
  ☆370Updated last year
• antao97 / UnsupervisedPointCloudReconstruction
  Experiments on unsupervised point cloud reconstruction.
  ☆166Updated 2 years ago
• HaochengWan / PVT
  PVT: Point-Voxel Transformer for 3D Deep Learning
  ☆90Updated 2 years ago
• leofansq / SCF-Net
  [CVPR2021] SCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud Segmentation
  ☆79Updated last year
• yewzijian / RegTR
  End-to-end Point Cloud Correspondences with Transformers
  ☆231Updated last year
• VinAIResearch / ISBNet
  ISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware Sampling and Box-aware Dynamic Convolution (CVPR 2023)
  ☆130Updated 2 months ago
• JunweiZheng93 / APES
  Official repository for paper "Attention-based Point Cloud Edge Sampling" (APES), Highlight@CVPR 2023
  ☆99Updated 6 months ago
• luost26 / DMRDenoise
  Differentiable Manifold Reconstruction for Point Cloud Denoising (ACM MM 2020)
  ☆124Updated 3 years ago
• ddsediri / IterativePFN
  Official code implementation for the paper "IterativePFN: True Iterative Point Cloud Filtering" (published in CVPR 2023).
  ☆53Updated last year
• ma-xu / pointMLP-pytorch
  [ICLR 2022 poster] Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP…
  ☆512Updated last month
• PointCloudYC / ResPointNet2
  ResPointNet++ for AutoCon journal paper.
  ☆36Updated 7 months ago
• qinglew / FoldingNet
  This is the implementation for FoldingNet——an autoencoder for point cloud in PyTorch.
  ☆53Updated last year