[ICCV 2021] Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis
☆191Mar 5, 2025Updated last year
Alternatives and similar repositories for CurveNet
Users that are interested in CurveNet are comparing it to the libraries listed below
Sorting:
- (CVPR 2021) PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds☆306Dec 25, 2023Updated 2 years ago
- [ICLR 2022 poster] Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP…☆589Feb 2, 2025Updated last year
- Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud. (AAAI2021)☆70Dec 24, 2024Updated last year
- Official repository for paper "Attention-based Point Cloud Edge Sampling" (APES), Highlight@CVPR 2023☆135Mar 26, 2025Updated 11 months ago
- Official Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"☆163Dec 12, 2024Updated last year
- The source code of PRA-Net.☆27Oct 4, 2021Updated 4 years ago
- Project page: https://3dmedpt.github.io/☆52Jan 13, 2022Updated 4 years ago
- Code and Data for the paper "LPF-Defense: 3D Adversarial Defense based on Frequency Analysis", PLoS ONE☆16Nov 5, 2024Updated last year
- A Closer Look at Local Aggregation Operators in Point Cloud Analysis(ECCV 2020)☆259Dec 16, 2020Updated 5 years ago
- A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)☆802Oct 29, 2022Updated 3 years ago
- Geometric Back-projection Network for Point Cloud Classification (IEEE Transactions on Multimedia, TMM 2021)☆54Apr 8, 2022Updated 3 years ago
- [NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies☆1,010Dec 1, 2023Updated 2 years ago
- Repo for "Benchmarking Robustness of 3D Point Cloud Recognition against Common Corruptions" https://arxiv.org/abs/2201.12296☆216Aug 26, 2023Updated 2 years ago
- Point Transformers☆723Mar 13, 2024Updated 2 years ago
- This is an unofficial implementation of the Point Transformer paper.☆631Apr 19, 2022Updated 3 years ago
- PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling (CVPR 2020)☆266Oct 15, 2021Updated 4 years ago
- ☆11May 11, 2022Updated 3 years ago
- Relation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist)☆426Sep 30, 2021Updated 4 years ago
- Kernel Point Convolution implemented in PyTorch☆877Oct 17, 2025Updated 5 months ago
- Adaptive Graph Convolution for Point Cloud Analysis☆125Oct 28, 2021Updated 4 years ago
- ☆80Nov 13, 2023Updated 2 years ago
- our code for paper 'PointCutMix: Regularization Strategy for Point Cloud Classification', Neurocomputing, 2022☆61Jul 19, 2022Updated 3 years ago
- Dense-Resolution Network for Point Cloud Classification and Segmentation (WACV 2021)☆35May 5, 2021Updated 4 years ago
- [CVPR 2021 - Official] Rigid Subset Mix (RSMix): Regularization Strategy for Point Cloud via Rigidly Mixed Samples☆33Feb 11, 2022Updated 4 years ago
- [CVPR 2022 Oral] Official implementation for "Surface Representation for Point Clouds"☆337Nov 2, 2022Updated 3 years ago
- Implementation of ECCV2020 paper - JSENet: Joint Semantic Segmentation and Edge Detection Network for 3D Point Clouds☆134Mar 16, 2021Updated 5 years ago
- [CVPR 2023] Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis☆538Apr 9, 2024Updated last year
- TVCG 2022: Task-Aware Sampling Layer for Point-Wise Analysis☆16Jan 21, 2024Updated 2 years ago
- Pytorch implementation of PCT: Point Cloud Transformer☆394Dec 13, 2021Updated 4 years ago
- ☆1,820May 20, 2022Updated 3 years ago
- PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.☆4,760Apr 24, 2024Updated last year
- Jittor implementation of PCT:Point Cloud Transformer☆709Jun 2, 2021Updated 4 years ago
- 3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.☆509Sep 20, 2022Updated 3 years ago
- Official implementation of the paper "Point Cloud Classification Using Content-based Transformer via Clustering in Feature Space"☆37Jun 1, 2023Updated 2 years ago
- PyTorch implementation of RandLA-Net☆414Aug 26, 2021Updated 4 years ago
- PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing, CVPR2019.☆212Jan 17, 2020Updated 6 years ago
- Code for PointAugment: an Auto-Augmentation Framework for Point Cloud Classification, CVPR 2020 (Oral)☆218Dec 3, 2020Updated 5 years ago
- Contrastive Boundary Learning for Point Cloud Segmentation (CVPR2022)☆162Oct 10, 2023Updated 2 years ago
- PyTorch reimplementation for "KPConv: Flexible and Deformable Convolution for Point Clouds" https://arxiv.org/abs/1904.08889☆70Jul 9, 2020Updated 5 years ago