Alternatives and similar repositories for PoinTr

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

• guochengqian / PointNeXt
  [NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies
  ☆918Updated last year
• qq456cvb / Point-Transformers
  Point Transformers
  ☆701Updated last year
• POSTECH-CVLab / point-transformer
  This is an unofficial implementation of the Point Transformer paper.
  ☆591Updated 3 years ago
• Pointcept / PointTransformerV2
  [NeurIPS'22] An official PyTorch implementation of PTv2.
  ☆401Updated 2 years ago
• Strawberry-Eat-Mango / PCT_Pytorch
  Pytorch implementation of PCT: Point Cloud Transformer
  ☆383Updated 3 years ago
• dvlab-research / Stratified-Transformer
  Stratified Transformer for 3D Point Cloud Segmentation (CVPR 2022)
  ☆408Updated 2 years ago
• Julie-tang00 / Point-BERT
  [CVPR 2022] Pre-Training 3D Point Cloud Transformers with Masked Point Modeling
  ☆617Updated 4 months ago
• qinglew / PCN-PyTorch
  Implementation of PCN(Point Completion Network) in PyTorch.
  ☆183Updated 2 years ago
• ma-xu / pointMLP-pytorch
  [ICLR 2022 poster] Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP…
  ☆555Updated 6 months ago
• guochengqian / openpoints
  OpenPoints: a library for easily reproducing point-based methods for point cloud understanding. The engine for [PointNeXt](https://arxiv.…
  ☆373Updated last year
• zztianzz / PF-Net-Point-Fractal-Network
  CVPR2020 PF-Net: Point Fractal Network for 3D Point Cloud Completion
  ☆348Updated 4 years ago
• thangvubk / SoftGroup
  [CVPR 2022 Oral] SoftGroup for Instance Segmentation on 3D Point Clouds
  ☆393Updated last year
• HuguesTHOMAS / KPConv-PyTorch
  Kernel Point Convolution implemented in PyTorch
  ☆845Updated 7 months ago
• Pang-Yatian / Point-MAE
  [ECCV2022] Masked Autoencoders for Point Cloud Self-supervised Learning
  ☆559Updated 4 months ago
• hzxie / GRNet
  The official implementation of "GRNet: Gridding Residual Network for Dense Point Cloud Completion". (ECCV 2020)
  ☆330Updated this week
• antao97 / PointCloudDatasets
  3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.
  ☆471Updated 2 years ago
• antao97 / dgcnn.pytorch
  A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)
  ☆772Updated 2 years ago
• dvlab-research / PointGroup
  PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation
  ☆426Updated last year
• lucidrains / point-transformer-pytorch
  Implementation of the Point Transformer layer, in Pytorch
  ☆597Updated 3 years ago
• Colin97 / MSN-Point-Cloud-Completion
  Morphing and Sampling Network for Dense Point Cloud Completion (AAAI2020)
  ☆436Updated 3 years ago
• POSTECH-CVLab / FastPointTransformer
  Official source code of Fast Point Transformer, CVPR 2022
  ☆290Updated 2 years ago
• ZrrSkywalker / Point-NN
  [CVPR 2023] Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis
  ☆525Updated last year
• wentaoyuan / pcn
  Code for PCN: Point Completion Network in 3DV'18 (Oral)
  ☆466Updated last year
• qinzheng93 / GeoTransformer
  [CVPR2022] Geometric Transformer for Fast and Robust Point Cloud Registration
  ☆830Updated last year
• CVMI-Lab / PAConv
  (CVPR 2021) PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds
  ☆304Updated last year
• nicolas-chaulet / torch-points3d
  Pytorch framework for doing deep learning on point clouds.
  ☆249Updated 3 years ago
• aRI0U / RandLA-Net-pytorch
  PyTorch implementation of RandLA-Net
  ☆395Updated 3 years ago
• HuguesTHOMAS / KPConv
  Kernel Point Convolutions
  ☆757Updated 4 years ago
• vinits5 / learning3d
  This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).
  ☆828Updated last month
• filaPro / oneformer3d
  [CVPR2024] OneFormer3D: One Transformer for Unified Point Cloud Segmentation
  ☆500Updated 9 months ago