antao97 / PointCloudDatasetsLinks
3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.
☆471Updated 2 years ago
Alternatives and similar repositories for PointCloudDatasets
Users that are interested in PointCloudDatasets are comparing it to the libraries listed below
Sorting:
- [ICLR 2022 poster] Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP…☆555Updated 6 months ago
- This is an unofficial implementation of the Point Transformer paper.☆591Updated 3 years ago
- Point Transformers☆701Updated last year
- Morphing and Sampling Network for Dense Point Cloud Completion (AAAI2020)☆435Updated 3 years ago
- Pytorch implementation of PCT: Point Cloud Transformer☆383Updated 3 years ago
- [ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers☆730Updated 10 months ago
- This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).☆828Updated last month
- Implementation of PCN(Point Completion Network) in PyTorch.☆183Updated 2 years ago
- Kernel Point Convolution implemented in PyTorch☆845Updated 7 months ago
- Differentiable Point Cloud Sampling (CVPR 2020 Oral)☆381Updated 2 years ago
- A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)☆772Updated 2 years ago
- Code for rendering the point cloud figures in paper: "PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows"☆393Updated 5 years ago
- [CVPR 2022] Pre-Training 3D Point Cloud Transformers with Masked Point Modeling☆618Updated 4 months ago
- [NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies☆918Updated last year
- OpenPoints: a library for easily reproducing point-based methods for point cloud understanding. The engine for [PointNeXt](https://arxiv.…☆376Updated last year
- Implementation of the Point Transformer layer, in Pytorch☆597Updated 3 years ago
- Experiments on unsupervised point cloud reconstruction.☆171Updated 3 years ago
- Code for PCN: Point Completion Network in 3DV'18 (Oral)☆466Updated last year
- PyTorch implementation of "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593☆266Updated 2 years ago
- [NeurIPS'22] An official PyTorch implementation of PTv2.☆401Updated 2 years ago
- The official implementation of "GRNet: Gridding Residual Network for Dense Point Cloud Completion". (ECCV 2020)☆330Updated last week
- CVPR2020 PF-Net: Point Fractal Network for 3D Point Cloud Completion☆348Updated 4 years ago
- Pytorch framework for doing deep learning on point clouds.☆249Updated 3 years ago
- Kernel Point Convolutions☆757Updated 4 years ago
- Chamfer Distance in Pytorch with f-score☆364Updated 4 years ago
- Autoencoder for Point Clouds☆433Updated last year
- Code for Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data, ICCV 2019☆246Updated 2 years ago
- PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation☆426Updated last year
- pytorch version of PointConv☆291Updated 4 years ago
- [ECCV2022] Masked Autoencoders for Point Cloud Self-supervised Learning☆559Updated 4 months ago