Alternatives and similar repositories for WeakSupPointCloudSeg

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

• plusmultiply / mprm
  Multi-Path Region Mining For Weakly Supervised 3D Semantic Segmentation on Point Clouds
  ☆52Updated 5 years ago
• canqin001 / PointDAN
  Code of NeurIPS19 Paper "PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation".
  ☆137Updated 4 years ago
• raoyongming / PointGLR
  [CVPR 2020] Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds
  ☆126Updated 5 years ago
• princeton-vl / SimpleView
  Official Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"
  ☆164Updated 11 months ago
• liuzhengzhe / One-Thing-One-Click
  https://arxiv.org/abs/2104.02246 One Thing One Click (CVPR 2021) https://arxiv.org/abs/2303.14727 One Thing One Click++ (Arxiv)
  ☆58Updated 2 years ago
• Na-Z / attMPTI
  [CVPR 2021] Few-shot 3D Point Cloud Semantic Segmentation
  ☆186Updated 2 years ago
• yunlu-chen / PointMixup
  Implementation for paper "PointMixup: Augmentation for Point Cloud". Accepted to ECCV 2020 as spotlight presentation
  ☆98Updated 5 years ago
• yanx27 / PointASNL
  PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling （CVPR 2020）
  ☆266Updated 4 years ago
• aim-uofa / DyCo3D
  ☆125Updated 2 years ago
• zeliu98 / CloserLook3D
  A Closer Look at Local Aggregation Operators in Point Cloud Analysis(ECCV 2020)
  ☆259Updated 4 years ago
• lyqun / FPConv
  CVPR 2020, "FPConv: Learning Local Flattening for Point Convolution"
  ☆133Updated 4 years ago
• hszhao / PointWeb
  PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing, CVPR2019.
  ☆212Updated 5 years ago
• XuyangBai / KPConv.pytorch
  PyTorch reimplementation for "KPConv: Flexible and Deformable Convolution for Point Clouds" https://arxiv.org/abs/1904.08889
  ☆71Updated 5 years ago
• MingyeXu / GS-Net
  Geometry Sharing Network for 3D Point Cloud Classification and Segmentation
  ☆50Updated 5 years ago
• iMoonLab / PVRNet
  PVRNet: Point-View Relation Neural Network for 3D Shape Recognition (AAAI 2019)
  ☆47Updated 6 years ago
• FrankCAN / GAPointNet
  ☆47Updated 6 years ago
• hzykent / JSENet
  Implementation of ECCV2020 paper - JSENet: Joint Semantic Segmentation and Edge Detection Network for 3D Point Clouds
  ☆133Updated 4 years ago
• guochengqian / ASSANet
  [NeurIPS'21 Spotlight] ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning
  ☆36Updated 3 years ago
• liuxinhai / Point2Sequence
  Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network
  ☆41Updated 5 years ago
• wbhu / BPNet
  [CVPR 2021 Oral]Bidirectional Projection Network for Cross Dimension Scene Understanding
  ☆176Updated 4 years ago
• akomarichev / a-cnn
  ☆47Updated 6 years ago
• mutianxu / GDANet
  Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud. (AAAI2021)
  ☆70Updated 11 months ago
• tiangexiang / CurveNet
  [ICCV 2021] Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis
  ☆189Updated 9 months ago
• azuki-miho / RFCR
  [CVPR2021] Omni-supervised Point Cloud Segmentation via Gradual Receptive Field Component Reasoning
  ☆25Updated 3 years ago
• LiuShihHung / GICN
  ☆52Updated 5 years ago
• orendv / learning_to_sample
  A learned sampling approach for point clouds (CVPR 2019)
  ☆182Updated last year
• chih-hao-lin / 3dgcn
  Convolution in the Cloud: Learning Deformable Kernels in 3D Graph Convolution Networks for Point Cloud Analysis
  ☆131Updated last year
• CVMI-Lab / PAConv
  (CVPR 2021) PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds
  ☆307Updated last year
• pqhieu / jsis3d
  [CVPR'19] JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds
  ☆182Updated 5 years ago
• liruihui / PointAugment
  Code for PointAugment: an Auto-Augmentation Framework for Point Cloud Classification, CVPR 2020 (Oral)
  ☆217Updated 5 years ago