Zhang-VISLab / Learning-to-Segment-3D-Point-Clouds-in-2D-Image-SpaceView external linksLinks
☆208Aug 24, 2023Updated 2 years ago
Alternatives and similar repositories for Learning-to-Segment-3D-Point-Clouds-in-2D-Image-Space
Users that are interested in Learning-to-Segment-3D-Point-Clouds-in-2D-Image-Space are comparing it to the libraries listed below
Sorting:
- A Closer Look at Local Aggregation Operators in Point Cloud Analysis(ECCV 2020)☆259Dec 16, 2020Updated 5 years ago
- CVPR 2020, "FPConv: Learning Local Flattening for Point Convolution"☆132Nov 3, 2021Updated 4 years ago
- [CVPR 2020] Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds☆128Aug 10, 2020Updated 5 years ago
- DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing (ICCV 2019)☆120Sep 30, 2021Updated 4 years ago
- 3DFeat-Net: Weakly Supervised Local 3D Features for Point Cloud Registration☆224Jul 4, 2019Updated 6 years ago
- [ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution☆618Jul 11, 2024Updated last year
- SA-SSD: Structure Aware Single-stage 3D Object Detection from Point Cloud (CVPR 2020)☆496Aug 5, 2020Updated 5 years ago
- Kernel Point Convolutions☆775Feb 23, 2021Updated 4 years ago
- Code for PointAugment: an Auto-Augmentation Framework for Point Cloud Classification, CVPR 2020 (Oral)☆217Dec 3, 2020Updated 5 years ago
- ☆55Jul 23, 2020Updated 5 years ago
- Implementation of ECCV2020 paper - JSENet: Joint Semantic Segmentation and Edge Detection Network for 3D Point Clouds☆133Mar 16, 2021Updated 4 years ago
- SegGCN: Efficient 3D Point Cloud Segmentation with Fuzzy Spherical Kernel☆31Jun 4, 2020Updated 5 years ago
- Official Implementation in Pytorch and Tensorflow of 3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D…☆183Nov 22, 2022Updated 3 years ago
- Code of NeurIPS19 Paper "PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation".☆135Jan 24, 2021Updated 5 years ago
- 🔥Urban-scale point cloud dataset (CVPR 2021 & IJCV 2022)☆569Jul 22, 2022Updated 3 years ago
- 🔥3D-BoNet in Tensorflow (NeurIPS 2019, Spotlight)☆398Mar 2, 2021Updated 4 years ago
- Differentiable Point Cloud Sampling (CVPR 2020 Oral)☆392Jun 25, 2023Updated 2 years ago
- A learned sampling approach for point clouds (CVPR 2019)☆182May 5, 2024Updated last year
- 3DSSD: Point-based 3D Single Stage Object Detector (CVPR 2020)☆382Jun 22, 2022Updated 3 years ago
- [TensorFlow] Official implementation of CVPR'20 oral paper - D3Feat: Joint Learning of Dense Detection and Description of 3D Local Featur…☆274Aug 14, 2021Updated 4 years ago
- Pointwise Rotation-Invariant Network (AAAI 2020)☆88Feb 25, 2021Updated 4 years ago
- [NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning☆677Apr 12, 2022Updated 3 years ago
- A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways☆292Oct 30, 2025Updated 3 months ago
- PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling (CVPR 2020)☆267Oct 15, 2021Updated 4 years ago
- SO-Net: Self-Organizing Network for Point Cloud Analysis, CVPR2018☆346Feb 24, 2021Updated 4 years ago
- PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation☆443Jul 25, 2024Updated last year
- Implementation for PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation (CVPR 2020)☆413May 19, 2021Updated 4 years ago
- Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud, CVPR 2020.☆583Sep 23, 2020Updated 5 years ago
- Campus3D point cloud dataset☆48Mar 28, 2022Updated 3 years ago
- [CVPR'19] JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds☆182Jul 8, 2020Updated 5 years ago
- Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.☆723Feb 18, 2021Updated 4 years ago
- Source code for baselines of the Stanford 3D Point Cloud Completion Benchmark (completion3d.stanford.edu) and TopNet: Structural Point Cl…☆238Mar 24, 2023Updated 2 years ago
- Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)☆936Apr 5, 2023Updated 2 years ago
- ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics☆87Oct 3, 2019Updated 6 years ago
- [CVPR 2020 Oral] High-dimensional Convolutional Networks for Geometric Pattern Recognition☆40Sep 15, 2021Updated 4 years ago
- Pytorch framework for doing deep learning on point clouds.☆2,690Jan 19, 2026Updated 3 weeks ago
- PointPWC-Net is a deep coarse-to-fine network designed for 3D scene flow estimation from 3D point clouds.☆161Dec 24, 2020Updated 5 years ago
- This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).☆851Jun 28, 2025Updated 7 months ago
- Grid-GCN for Fast and Scalable Point Cloud Learning☆186Mar 19, 2020Updated 5 years ago