xingyul / flownet3dView external linksLinks
FlowNet3D: Learning Scene Flow in 3D Point Clouds (CVPR 2019)
☆398Mar 1, 2023Updated 2 years ago
Alternatives and similar repositories for flownet3d
Users that are interested in flownet3d are comparing it to the libraries listed below
Sorting:
- The pytorch implementation of flownet3d: https://github.com/xingyul/flownet3d☆78May 14, 2021Updated 4 years ago
- Code for our CVPR 2019 paper, HPLFlowNet: Hierarchical Permutohedral Lattice FlowNet for Scene Flow Estimation on Large-scale Point Cloud…☆110Dec 31, 2020Updated 5 years 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
- MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences (ICCV 2019 Oral)☆157Nov 19, 2021Updated 4 years ago
- [CVPR 2021, Oral] "Weakly Supervised Learning of Rigid 3D Scene Flow"☆140Aug 19, 2022Updated 3 years ago
- Self-supervised method for scene-flow estimation of LiDAR point clouds. Method is trained and tested on the nuScenes and KITTI datasets i…☆67Feb 15, 2023Updated 2 years ago
- Kernel Point Convolutions☆775Feb 23, 2021Updated 4 years ago
- Neural Scene Flow Prior (NeurIPS 2021 spotlight)☆138Apr 24, 2023Updated 2 years ago
- Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimation (ECCV 2018)☆148Mar 22, 2019Updated 6 years ago
- [ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution☆618Jul 11, 2024Updated last year
- 3DFeat-Net: Weakly Supervised Local 3D Features for Point Cloud Registration☆224Jul 4, 2019Updated 6 years ago
- Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.☆723Feb 18, 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
- FLOT: Scene Flow Estimation by Learned Optimal Transport on Point Clouds☆106May 23, 2025Updated 8 months ago
- Self-Supervised Monocular Scene Flow Estimation (CVPR 2020)☆253Apr 18, 2022Updated 3 years ago
- Relation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist)☆427Sep 30, 2021Updated 4 years ago
- Grid-GCN for Fast and Scalable Point Cloud Learning☆186Mar 19, 2020Updated 5 years ago
- PyTorch implementation of Pointnet2/Pointnet++☆1,769Mar 21, 2025Updated 10 months ago
- A Closer Look at Local Aggregation Operators in Point Cloud Analysis(ECCV 2020)☆259Dec 16, 2020Updated 5 years ago
- [CVPR2019] The Perfect Match: 3D Point Cloud Matching with Smoothed Densities☆514Mar 24, 2023Updated 2 years ago
- Differentiable Point Cloud Sampling (CVPR 2020 Oral)☆393Jun 25, 2023Updated 2 years ago
- ☆486Jun 23, 2019Updated 6 years ago
- Deep Hough Voting for 3D Object Detection in Point Clouds☆1,747Jan 30, 2022Updated 4 years ago
- TensorFlow implementation of PointRNN, PointGRU and PointLSTM.☆154Apr 6, 2021Updated 4 years ago
- ☆497Oct 1, 2019Updated 6 years ago
- [CVPR 2020 Oral] A differentiable framework for 3D registration☆541Oct 25, 2023Updated 2 years ago
- ☆21Apr 5, 2019Updated 6 years ago
- [NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning☆677Apr 12, 2022Updated 3 years ago
- SPLATNet: Sparse Lattice Networks for Point Cloud Processing (CVPR2018)☆269Oct 16, 2020Updated 5 years ago
- SO-Net: Self-Organizing Network for Point Cloud Analysis, CVPR2018☆346Feb 24, 2021Updated 4 years ago
- 🔥3D-BoNet in Tensorflow (NeurIPS 2019, Spotlight)☆398Mar 2, 2021Updated 4 years ago
- 3DSSD: Point-based 3D Single Stage Object Detector (CVPR 2020)☆382Jun 22, 2022Updated 3 years ago
- DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing (ICCV 2019)☆120Sep 30, 2021Updated 4 years ago
- PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud, CVPR 2019.☆1,810Sep 1, 2022Updated 3 years ago
- Implementation of the FastFlow3D architecture for scene flow estimation from LiDAR point clouds in PyTorch using PyTorch Lightning.☆40Nov 22, 2022Updated 3 years ago
- Code for NeurIPS 2020 paper "CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations"☆71Mar 30, 2023Updated 2 years ago
- Associatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019☆262Apr 27, 2019Updated 6 years ago
- [CVPR'19] 3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans☆384Mar 24, 2023Updated 2 years ago
- 4D Spatio-Temporal Semantic Segmentation on a 3D video (a sequence of 3D scans)☆314Dec 5, 2022Updated 3 years ago