Alternatives and similar repositories for GeoTransformer

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

• zhangxy0517 / 3D-Registration-with-Maximal-Cliques
  [CVPR 2023, BSP] 3D Registration with Maximal Cliques
  ☆527Updated last year
• prs-eth / OverlapPredator
  [CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.
  ☆584Updated 9 months ago
• XuyangBai / awesome-point-cloud-registration
  A curated list of point cloud registration.
  ☆919Updated last year
• chrischoy / DeepGlobalRegistration
  [CVPR 2020 Oral] A differentiable framework for 3D registration
  ☆538Updated 2 years ago
• yewzijian / RegTR
  End-to-end Point Cloud Correspondences with Transformers
  ☆262Updated 2 years ago
• yuxumin / PoinTr
  [ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers
  ☆790Updated last year
• XuyangBai / PointDSC
  [PyTorch] Official implementation of CVPR2021 paper "PointDSC: Robust Point Cloud Registration using Deep Spatial Consistency". https://a…
  ☆271Updated 4 years ago
• chrischoy / FCGF
  Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.
  ☆710Updated 4 years ago
• yewzijian / RPMNet
  RPM-Net: Robust Point Matching using Learned Features (CVPR2020)
  ☆408Updated 3 years ago
• QingyongHu / SpinNet
  [CVPR 2021] SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration
  ☆298Updated 4 years ago
• yeyan00 / pointcloud-sota
  Collect and summarize point cloud sota methods.
  ☆220Updated 2 months ago
• guochengqian / PointNeXt
  [NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies
  ☆967Updated 2 years ago
• vinits5 / learning3d
  This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).
  ☆844Updated 5 months ago
• drprojects / superpoint_transformer
  Official PyTorch implementation of Superpoint Transformer introduced in [ICCV'23] "Efficient 3D Semantic Segmentation with Superpoint Tra…
  ☆895Updated last week
• filaPro / oneformer3d
  [CVPR2024] OneFormer3D: One Transformer for Unified Point Cloud Segmentation
  ☆556Updated last year
• zgojcic / 3D_multiview_reg
  [CVPR2020] Learning multiview 3D point cloud registration
  ☆406Updated 5 years ago
• WangYueFt / dcp
  ☆400Updated 3 years ago
• yxzhang15 / PCR
  ☆154Updated 2 months ago
• fabiopoiesi / gedi
  Project page of the paper "Learning general and distinctive 3D local deep descriptors for point cloud registration" published in IEEE T-P…
  ☆166Updated 3 years ago
• HuguesTHOMAS / KPConv-PyTorch
  Kernel Point Convolution implemented in PyTorch
  ☆869Updated last month
• nicolas-chaulet / torch-points3d
  Pytorch framework for doing deep learning on point clouds.
  ☆260Updated 3 years ago
• Pointcept / PointTransformerV2
  [NeurIPS'22] An official PyTorch implementation of PTv2.
  ☆423Updated 2 years ago
• POSTECH-CVLab / point-transformer
  This is an unofficial implementation of the Point Transformer paper.
  ☆619Updated 3 years ago
• dvlab-research / Stratified-Transformer
  Stratified Transformer for 3D Point Cloud Segmentation (CVPR 2022)
  ☆422Updated 2 years ago
• Pointcept / PointTransformerV3
  [CVPR'24 Oral] Official repository of Point Transformer V3 (PTv3)
  ☆1,531Updated last month
• JonasSchult / Mask3D
  Mask3D predicts accurate 3D semantic instances achieving state-of-the-art on ScanNet, ScanNet200, S3DIS and STPLS3D.
  ☆686Updated 2 years ago
• rabbityl / lepard
  [CVPR 2022, Oral] Learning Partial point cloud matching in Rigid and Deformable scenes
  ☆229Updated 2 years ago
• hmgoforth / PointNetLK
  ☆481Updated 6 years ago
• zhulf0804 / PCReg.PyTorch
  A Simple Point Cloud Registration Network based on PointNet.
  ☆135Updated 3 years ago
• qinglew / PCN-PyTorch
  Implementation of PCN(Point Completion Network) in PyTorch.
  ☆200Updated 2 years ago