This project releases the code for the Paper "Going Deeper with Point Networks"
☆60Dec 12, 2019Updated 6 years ago
Alternatives and similar repositories for GoingDeeperwPointNetworks
Users that are interested in GoingDeeperwPointNetworks are comparing it to the libraries listed below
Sorting:
- CVPR 2020, "FPConv: Learning Local Flattening for Point Convolution"☆132Nov 3, 2021Updated 4 years ago
- ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics☆87Oct 3, 2019Updated 6 years ago
- Code for the paper Label-Efficient Learning on Point Clouds usingApproximate Convex Decompositions.☆40Dec 12, 2020Updated 5 years ago
- PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions☆47Sep 15, 2020Updated 5 years ago
- A Closer Look at Local Aggregation Operators in Point Cloud Analysis(ECCV 2020)☆259Dec 16, 2020Updated 5 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
- Relation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist)☆426Sep 30, 2021Updated 4 years ago
- ☆25Sep 12, 2019Updated 6 years ago
- [CVPR'19] JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds☆182Jul 8, 2020Updated 5 years ago
- ☆117Sep 24, 2020Updated 5 years ago
- SegGCN: Efficient 3D Point Cloud Segmentation with Fuzzy Spherical Kernel☆31Jun 4, 2020Updated 5 years ago
- PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling (CVPR 2020)☆267Oct 15, 2021Updated 4 years ago
- ☆60Jan 14, 2021Updated 5 years ago
- PU-GAN: a Point Cloud Upsampling Adversarial Network, ICCV, 2019☆294Nov 25, 2020Updated 5 years ago
- Grid-GCN for Fast and Scalable Point Cloud Learning☆185Mar 19, 2020Updated 5 years ago
- DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing (ICCV 2019)☆119Sep 30, 2021Updated 4 years ago
- Code for PointAugment: an Auto-Augmentation Framework for Point Cloud Classification, CVPR 2020 (Oral)☆217Dec 3, 2020Updated 5 years ago
- Pytorch implementation of PCPNet☆187Jan 24, 2019Updated 7 years ago
- Learning to Group and Label Fine-Grained Shape Components☆14Sep 7, 2018Updated 7 years ago
- Public repository for paper "Finding Your (3D) Center: 3D object detection using a learned loss"☆17Nov 21, 2022Updated 3 years ago
- This work is based on our paper Exploring Spatial Context for 3D Semantic Segmentation of Point Clouds, which is appeared at the IEEE Int…☆102Oct 19, 2018Updated 7 years ago
- PyTorch implementation to train MortonNet and use it to compute point features. MortonNet is trained in a self-supervised fashion, and th…☆22May 29, 2019Updated 6 years ago
- PartNet Shape Segmentation Experiments Code Repo☆76Sep 22, 2020Updated 5 years ago
- [CVPR 2020] Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds☆127Aug 10, 2020Updated 5 years ago
- A learned sampling approach for point clouds (CVPR 2019)☆182May 5, 2024Updated last year
- ☆215Nov 17, 2022Updated 3 years ago
- PU-Net: Point Cloud Upsampling Network, CVPR, 2018 (https://arxiv.org/abs/1801.06761)☆362Oct 10, 2019Updated 6 years ago
- LOGAN: Unpaired Shape Transform in Latent Overcomplete Space☆40Sep 11, 2020Updated 5 years ago
- ☆12Aug 17, 2020Updated 5 years ago
- RIMD: Efficient and Flexible Deformation Representation for Data-Driven Surface Modeling (Siggraph 2016)☆11Mar 28, 2020Updated 5 years ago
- ☆52May 23, 2020Updated 5 years ago
- Graph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds vi…☆57May 8, 2020Updated 5 years ago
- ☆15May 12, 2022Updated 3 years ago
- Kernel Point Convolutions☆775Feb 23, 2021Updated 5 years ago
- ☆80Nov 13, 2023Updated 2 years ago
- Unpaired Point Cloud Completion on Real Scans using Adversarial Training☆92Aug 7, 2020Updated 5 years ago
- ☆63Dec 6, 2021Updated 4 years ago
- 🔥3D-BoNet in Tensorflow (NeurIPS 2019, Spotlight)☆398Mar 2, 2021Updated 5 years ago
- [TIP 2022] SegGroup: Seg-level Supervision for 3D Instance and Semantic Segmentation☆48Feb 25, 2023Updated 3 years ago