Alternatives and similar repositories for DPDist

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

• craigleili / 3DLocalMultiViewDesc
  End-to-End Learning Local Multi-view Descriptors for 3D Point Clouds (CVPR2020)
  ☆61Updated 11 months ago
• samaonline / spatial-transformer-for-3d-point-clouds
  spatial transformer for 3d point clouds
  ☆29Updated 3 years ago
• theNded / SGP
  [CVPR 2021 Oral] Self-supervised Geometric Perception
  ☆161Updated 3 years ago
• XuyangBai / KPConv.pytorch
  PyTorch reimplementation for "KPConv: Flexible and Deformable Convolution for Point Clouds" https://arxiv.org/abs/1904.08889
  ☆67Updated 4 years ago
• davrempe / caspr
  Code for NeurIPS 2020 paper "CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations"
  ☆71Updated 2 years ago
• EnyaHermite / psicnn
  Octree guided cnn with spherical kernels for 3D point clouds
  ☆22Updated 6 years ago
• xiaogangw-zz / cascaded-point-completion
  ☆60Updated 4 years ago
• wangyida / softpool
  SoftPoolNet: Shape Descriptor for Point Cloud Completion and Classification - ECCV 2020 oral
  ☆77Updated 3 years ago
• vinits5 / pcrnet_pytorch
  This is a pytorch implementation of PCRNet
  ☆82Updated last year
• qq456cvb / PRIN
  Pointwise Rotation-Invariant Network (AAAI 2020)
  ☆87Updated 4 years ago
• erictuanle / GoingDeeperwPointNetworks
  This project releases the code for the Paper "Going Deeper with Point Networks"
  ☆60Updated 5 years ago
• francisengelmann / 3D-MPA
  [CVPR 2020] Multi Proposal Aggregation for 3D Semantic Instance Segmentation
  ☆75Updated 2 years ago
• xuelin-chen / pcl2pcl-gan-pub
  Unpaired Point Cloud Completion on Real Scans using Adversarial Training
  ☆92Updated 4 years ago
• jzhzhang / FusionAwareConv
  [CVPR 2020] We propose a novel fusionaware 3D point convolution which operates directly on the geometric surface being reconstructed and …
  ☆65Updated 3 years ago
• ericyi / GSPN
  GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud
  ☆93Updated 6 years ago
• lelouedec / 3DNetworksPytorch
  Implementation of Popular Deep Learning Network using pytorch
  ☆56Updated 4 years ago
• nintendops / EPN_PointCloud
  PyTorch implementation for the paper Equivariant Point Network for 3D Point Cloud Analysis (CVPR2021).
  ☆109Updated 2 years ago
• sitzikbs / Nesti-Net
  Normal estimation for unstructured 3D point clouds using convolutional neural networks and a Mixture of Experts scale predictor.
  ☆46Updated 3 years ago
• vinits5 / pcrnet
  Point Cloud Registration Network
  ☆82Updated 3 years ago
• wentaoyuan / it-net
  Implementation of Iterative Transformer Network for 3D Point Cloud
  ☆41Updated 4 years ago
• huangjh-pub / multibody-sync
  [CVPR'21 Oral] MultiBodySync: Multi-Body Segmentation and Motion Estimation via 3D Scan Synchronization
  ☆61Updated 3 years ago
• raoyongming / PointGLR
  [CVPR 2020] Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds
  ☆123Updated 4 years ago
• mikacuy / deformation_aware_embedding
  Deformation-Aware 3D Model Embedding and Retrieval, ECCV 2020
  ☆54Updated 3 years ago
• yulequan / EC-Net
  EC-Net: an Edge-aware Point set Consolidation Network, ECCV, 2018
  ☆97Updated 3 years ago
• XLechter / PCAN
  Code for PCAN: 3D Attention Map Learning Using Contextual Information for Point Cloud Based Retrieval
  ☆74Updated 2 years ago
• valeoai / LightConvPoint
  ☆66Updated 4 years ago
• dragonbook / pointnet2-pytorch
  A clean PointNet++ segmentation model implementation. Support batch of samples with different number of points.
  ☆59Updated 4 years ago
• fabiopoiesi / dip
  Project page of the paper "Distinctive 3D local deep descriptors" accepted in IEEE International Conference on Pattern Recognition 2020.
  ☆67Updated 4 years ago
• XuyangBai / D3Feat.pytorch
  [PyTorch] Official Implementation of CVPR'20 oral paper - D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features …
  ☆142Updated 2 years ago
• matheusgadelha / PointCloudLearningACD
  Code for the paper Label-Efficient Learning on Point Clouds usingApproximate Convex Decompositions.
  ☆39Updated 4 years ago