orendv / learning_to_sample
A learned sampling approach for point clouds (CVPR 2019)
☆180Updated last year
Alternatives and similar repositories for learning_to_sample
Users that are interested in learning_to_sample are comparing it to the libraries listed below
Sorting:
- Differentiable Point Cloud Sampling (CVPR 2020 Oral)☆380Updated last year
- Source code for baselines of the Stanford 3D Point Cloud Completion Benchmark (completion3d.stanford.edu) and TopNet: Structural Point Cl…☆229Updated 2 years ago
- Code for Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data, ICCV 2019☆247Updated 2 years ago
- [CVPR 2020] Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds☆123Updated 4 years ago
- Experiments on unsupervised point cloud reconstruction.☆170Updated 2 years ago
- SoftPoolNet: Shape Descriptor for Point Cloud Completion and Classification - ECCV 2020 oral☆77Updated 3 years ago
- PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing, CVPR2019.☆206Updated 5 years ago
- SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters☆71Updated 6 years ago
- PyTorch reimplementation for "KPConv: Flexible and Deformable Convolution for Point Clouds" https://arxiv.org/abs/1904.08889☆67Updated 4 years ago
- A Closer Look at Local Aggregation Operators in Point Cloud Analysis(ECCV 2020)☆254Updated 4 years ago
- Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning☆74Updated last year
- Unpaired Point Cloud Completion on Real Scans using Adversarial Training☆92Updated 4 years ago
- PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling （CVPR 2020）☆263Updated 3 years ago
- pytorch version of PointConv☆285Updated 4 years ago
- prnet☆126Updated 2 years ago
- Differentiable Manifold Reconstruction for Point Cloud Denoising (ACM MM 2020)☆126Updated 3 years ago
- PyTorch reimplementation of FoldingNet☆37Updated 5 years ago
- [CVPR'21] PU-GCN: Point Cloud Upsampling using Graph Convolutional Networks☆180Updated 2 years ago
- DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing (ICCV 2019)☆119Updated 3 years ago
- [CVPR'19] JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds☆178Updated 4 years ago
- pytorch implementation of >>Patch-base progressive 3D Point Set Upsampling<<☆77Updated 5 years ago
- Pointwise Rotation-Invariant Network (AAAI 2020)☆87Updated 4 years ago
- This is a pytorch implementation of PCRNet☆80Updated last year
- ☆47Updated 5 years ago
- A clean PointNet++ segmentation model implementation. Support batch of samples with different number of points.☆59Updated 4 years ago
- Style-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021)☆147Updated 2 years ago
- Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds☆171Updated 4 years ago
- Code for PartNet: A Recursive Part Decomposition Network for Fine-grained and Hierarchical Shape Segmentation☆114Updated last year
- [CVPR 2021 Oral] Variational Relational Point Completion Network☆162Updated 3 years ago
- point set generative adversarial nets☆147Updated 7 years ago