hkust-vgd / scanobjectnn
Code for Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data, ICCV 2019
☆246Updated 2 years ago
Alternatives and similar repositories for scanobjectnn:
Users that are interested in scanobjectnn are comparing it to the libraries listed below
- PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing, CVPR2019.☆204Updated 5 years ago
- pytorch version of PointConv☆282Updated 4 years ago
- A Closer Look at Local Aggregation Operators in Point Cloud Analysis(ECCV 2020)☆253Updated 4 years ago
- Official Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"☆159Updated 4 months ago
- [CVPR 2020] Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds☆122Updated 4 years ago
- PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling (CVPR 2020)☆263Updated 3 years ago
- Code for paper <PointContrast: Unsupervised Pretraining for 3D Point Cloud Understanding>☆334Updated 3 years ago
- (CVPR 2021) PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds☆296Updated last year
- [CVPR'19] JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds☆178Updated 4 years ago
- PointNet++ Semantic Segmentation on ScanNet in PyTorch with CUDA acceleration☆142Updated last year
- Differentiable Point Cloud Sampling (CVPR 2020 Oral)☆380Updated last year
- [ICCV 2021] Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis☆182Updated last month
- PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation☆415Updated 8 months ago
- [CVPR'21] PU-GCN: Point Cloud Upsampling using Graph Convolutional Networks☆179Updated 2 years ago
- Source code for baselines of the Stanford 3D Point Cloud Completion Benchmark (completion3d.stanford.edu) and TopNet: Structural Point Cl…☆227Updated 2 years ago
- Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud. (AAAI2021)☆69Updated 3 months ago
- A learned sampling approach for point clouds (CVPR 2019)☆180Updated 11 months ago
- Experiments on unsupervised point cloud reconstruction.☆168Updated 2 years ago
- RandLA-Net's implementation with Pytorch☆129Updated 4 years ago
- [ICCV '21] "Unsupervised Point Cloud Pre-training via Occlusion Completion"☆238Updated 9 months ago
- Code for PointAugment: an Auto-Augmentation Framework for Point Cloud Classification, CVPR 2020 (Oral)☆212Updated 4 years ago
- Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning☆74Updated last year
- Style-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021)☆147Updated last year
- PU-GAN: a Point Cloud Upsampling Adversarial Network, ICCV, 2019☆283Updated 4 years ago
- Code for PCN: Point Completion Network in 3DV'18 (Oral)☆455Updated last year
- Code of NeurIPS19 Paper "PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation".☆132Updated 4 years ago
- ☆207Updated last year
- ☆113Updated 4 years ago
- PyTorch implementation of RandLA-Net☆370Updated 3 years ago
- PyTorch reimplementation for "KPConv: Flexible and Deformable Convolution for Point Clouds" https://arxiv.org/abs/1904.08889☆67Updated 4 years ago