Alternatives and similar repositories for FastPointTransformer

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

• guochengqian / openpoints
  OpenPoints: a library for easily reproducing point-based methods for point cloud understanding. The engine for [PointNeXt](https://arxiv.…
  ☆350Updated 9 months ago
• Pointcept / PointTransformerV2
  [NeurIPS'22] An official PyTorch implementation of PTv2.
  ☆385Updated last year
• dvlab-research / Stratified-Transformer
  Stratified Transformer for 3D Point Cloud Segmentation (CVPR 2022)
  ☆397Updated 2 years ago
• POSTECH-CVLab / point-transformer
  This is an unofficial implementation of the Point Transformer paper.
  ☆568Updated 3 years ago
• CVMI-Lab / PAConv
  (CVPR 2021) PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds
  ☆296Updated last year
• Julie-tang00 / Point-BERT
  [CVPR 2022] Pre-Training 3D Point Cloud Transformers with Masked Point Modeling
  ☆598Updated last month
• LiyaoTang / contrastBoundary
  Contrastive Boundary Learning for Point Cloud Segmentation (CVPR2022)
  ☆151Updated last year
• HaochengWan / PVT
  PVT: Point-Voxel Transformer for 3D Deep Learning
  ☆93Updated 2 years ago
• facebookresearch / PointContrast
  Code for paper <PointContrast: Unsupervised Pretraining for 3D Point Cloud Understanding>
  ☆337Updated 3 years ago
• AllenXiangX / SnowflakeNet
  (TPAMI 2023) Snowflake Point Deconvolution for Point Cloud Completion and Generation with Skip-Transformer
  ☆175Updated 9 months ago
• tiangexiang / CurveNet
  [ICCV 2021] Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis
  ☆182Updated 2 months ago
• xiaoaoran / 3d_url_survey
  (TPAMI2023) Unsupervised Point Cloud Representation Learning with Deep Neural Networks: A Survey
  ☆208Updated 2 years ago
• qinglew / PCN-PyTorch
  Implementation of PCN(Point Completion Network) in PyTorch.
  ☆177Updated 2 years ago
• qiqihaer / RandLA-Net-pytorch
  RandLA-Net's implementation with Pytorch
  ☆131Updated 4 years ago
• thangvubk / SoftGroup
  [CVPR 2022 Oral] SoftGroup for Instance Segmentation on 3D Point Clouds
  ☆379Updated last year
• vLAR-group / GrowSP
  🔥GrowSP in PyTorch (CVPR 2023)
  ☆178Updated last year
• Strawberry-Eat-Mango / PCT_Pytorch
  Pytorch implementation of PCT: Point Cloud Transformer
  ☆377Updated 3 years ago
• octree-nn / octformer
  OctFormer: Octree-based Transformers for 3D Point Clouds
  ☆296Updated 3 weeks ago
• hustvl / HAIS
  Hierarchical Aggregation for 3D Instance Segmentation (ICCV 2021)
  ☆171Updated 2 years ago
• linhaojia13 / PointMetaBase
  This is a PyTorch implementation of PointMetaBase proposed by our paper "Meta Architecure for Point Cloud Analysis"
  ☆94Updated 2 years ago
• zeliu98 / CloserLook3D
  A Closer Look at Local Aggregation Operators in Point Cloud Analysis(ECCV 2020)
  ☆254Updated 4 years ago
• dvlab-research / PointGroup
  PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation
  ☆417Updated 9 months ago
• guochengqian / PU-GCN
  [CVPR'21] PU-GCN: Point Cloud Upsampling using Graph Convolutional Networks
  ☆180Updated 2 years ago
• Pang-Yatian / Point-MAE
  [ECCV2022] Masked Autoencoders for Point Cloud Self-supervised Learning
  ☆538Updated last month
• JunweiZheng93 / APES
  Official repository for paper "Attention-based Point Cloud Edge Sampling" (APES), Highlight@CVPR 2023
  ☆115Updated last month
• ma-xu / pointMLP-pytorch
  [ICLR 2022 poster] Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP…
  ☆534Updated 3 months ago
• luost26 / score-denoise
  Score-Based Point Cloud Denoising (ICCV 2021)
  ☆185Updated 2 years ago
• hszhao / PointWeb
  PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing, CVPR2019.
  ☆206Updated 5 years ago
• dvlab-research / SphereFormer
  The official implementation for "Spherical Transformer for LiDAR-based 3D Recognition" (CVPR 2023).
  ☆338Updated last year
• ohhhyeahhh / PointAttN
  Code for the paper "PointAttN: You Only Need Attention for Point Cloud Completion"
  ☆104Updated last year