Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds
☆172Dec 8, 2020Updated 5 years ago
Alternatives and similar repositories for SPH3D-GCN
Users that are interested in SPH3D-GCN are comparing it to the libraries listed below
Sorting:
- DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing (ICCV 2019)☆119Sep 30, 2021Updated 4 years ago
- PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling (CVPR 2020)☆266Oct 15, 2021Updated 4 years ago
- ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics☆87Oct 3, 2019Updated 6 years ago
- Grid-GCN for Fast and Scalable Point Cloud Learning☆185Mar 19, 2020Updated 5 years ago
- CVPR 2020, "FPConv: Learning Local Flattening for Point Convolution"☆132Nov 3, 2021Updated 4 years ago
- SegGCN: Efficient 3D Point Cloud Segmentation with Fuzzy Spherical Kernel☆31Jun 4, 2020Updated 5 years ago
- Kernel Point Convolutions☆775Feb 23, 2021Updated 5 years ago
- Octree guided cnn with spherical kernels for 3D point clouds☆22May 16, 2019Updated 6 years ago
- Deep Hierarchical Encoder-Decoder with Point Atrous Convolution for Unorganized 3D Points☆29Feb 26, 2020Updated 6 years ago
- A Closer Look at Local Aggregation Operators in Point Cloud Analysis(ECCV 2020)☆259Dec 16, 2020Updated 5 years ago
- Tensorflow/Keras code for the article (Effective Rotation-invariant Point CNN with Spherical Harmonics kernels) :☆34Jan 4, 2021Updated 5 years ago
- PyTorch implementation of Pointwise Convolutional Neural Networks in CVPR 2018.☆12Aug 4, 2019Updated 6 years ago
- [NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning☆677Apr 12, 2022Updated 3 years ago
- ☆80Nov 13, 2023Updated 2 years ago
- SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters☆73Sep 11, 2018Updated 7 years ago
- 3D Point Capsule Networks☆294Aug 1, 2022Updated 3 years ago
- ☆12Aug 17, 2020Updated 5 years ago
- ☆497Oct 1, 2019Updated 6 years ago
- Code for Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data, ICCV 2019☆250Aug 11, 2022Updated 3 years ago
- ☆66Mar 6, 2021Updated 5 years ago
- Code for the paper: Exploiting Local and Global Structure for Point Cloud Semantic Segmentation with Contextual Point Representations☆49Mar 6, 2021Updated 5 years ago
- Attentional-PointNet is Deep-Neural-Network architecture for 3D object detection in point clouds☆90Jun 17, 2019Updated 6 years ago
- Tangent Convolutions for Dense Prediction in 3D☆125Feb 13, 2019Updated 7 years ago
- This project releases the code for the Paper "Going Deeper with Point Networks"☆60Dec 12, 2019Updated 6 years ago
- Differentiable Point Cloud Sampling (CVPR 2020 Oral)☆391Jun 25, 2023Updated 2 years ago
- [CVPR 2020] Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds☆127Aug 10, 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
- Deep Hough Voting for 3D Object Detection in Point Clouds (https://arxiv.org/abs/1904.09664)☆142Jun 25, 2020Updated 5 years ago
- A Pytorch Implementation of “Modeling Local Geometric Structure of 3D Point Clouds using Geo-CNN”☆17Aug 10, 2020Updated 5 years ago
- PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing, CVPR2019.☆212Jan 17, 2020Updated 6 years ago
- [ICRA 2020] Dilated Point Convolutions: On the Receptive Field Size of Point Convolutions on 3D Point Clouds☆10Aug 15, 2021Updated 4 years ago
- SO-Net: Self-Organizing Network for Point Cloud Analysis, CVPR2018☆345Feb 24, 2021Updated 5 years ago
- PU-GAN: a Point Cloud Upsampling Adversarial Network, ICCV, 2019☆294Nov 25, 2020Updated 5 years ago
- 🔥3D-BoNet in Tensorflow (NeurIPS 2019, Spotlight)☆398Mar 2, 2021Updated 5 years ago
- [CVPR'19] JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds☆182Jul 8, 2020Updated 5 years ago
- Pytorch implementation of 'Graph Attention Convolution for Point Cloud Segmentation'☆178Apr 3, 2019Updated 6 years ago
- This work is based on our paper "DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes", which appeared at the IEEE Co…☆128Nov 27, 2022Updated 3 years ago
- Multi Directional Geodesic Convolutional Neural Networks☆37Jun 5, 2020Updated 5 years ago
- Patch-base progressive 3D Point Set Upsampling☆171Sep 10, 2024Updated last year