ispc-lab / MoNetLinks
Source code of our paper: MoNet: Motion-Based Point Cloud Prediction Network
☆19Updated 3 years ago
Alternatives and similar repositories for MoNet
Users that are interested in MoNet are comparing it to the libraries listed below
Sorting:
- [CVPR 2022] No Pain, Big Gain: Classify Dynamic Point Cloud Sequences with Static Models by Fitting Feature-level Space-time Surfaces☆22Updated last year
- Implementation of the "PSTNet: Point Spatio-Temporal Convolution on Point Cloud Sequences" paper.☆110Updated 2 years ago
- PVT: Point-Voxel Transformer for 3D Deep Learning☆96Updated 3 years ago
- FH-Net: A Fast Hierarchical Network for Scene Flow Estimation on Real-world Point Clouds☆13Updated 3 years ago
- 🔥OGC in PyTorch (NeurIPS 2022 & TPAMI 2024)☆106Updated 3 months ago
- Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion (AAAI 2021)☆223Updated 4 years ago
- PointRNN, PointGRU and PointLSTM.☆64Updated 3 years ago
- ☆147Updated 3 years ago
- Official implementation of "Learning to Generate Realistic LiDAR Point Clouds" (ECCV 2022)☆148Updated 3 years ago
- Implementation of the "Point 4D Transformer Networks for Spatio-Temporal Modeling in Point Cloud Videos" paper.☆191Updated 3 years ago
- [CVPR 2021] PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds☆81Updated 2 years ago
- ☆28Updated 4 years ago
- [ECCV 2022] Official pytorch implementation of the paper, "PointMixer: MLP-Mixer for Point Cloud Understanding"☆112Updated 2 years ago
- Code for the paper "Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds" (ICCV 2021)☆80Updated 3 years ago
- SCPNet: Semantic Scene Completion on Point Cloud (CVPR 2023, Highlight)☆131Updated 2 years ago
- Official PyTorch implementation of the ECCV 2022 paper "CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentation…☆70Updated last year
- This is the code related to "Deformation and Correspondence Aware Unsupervised Synthetic-to-Real Scene Flow Estimation for Point Clouds" …☆38Updated 3 years ago
- [ECCV 2022] Dynamic 3D Scene Analysis by Point Cloud Accumulation☆138Updated 9 months ago
- ☆23Updated 3 years ago
- Official source code of Fast Point Transformer, CVPR 2022☆293Updated 2 years ago
- Pytorch Implementation of PTTR: Relational 3D Point Cloud Object Tracking with Transformer☆136Updated 3 years ago
- Voxel Set Transformer: A Set-to-Set Approach to 3D Object Detection from Point Clouds (CVPR 2022)☆203Updated 2 years ago
- [CVPR 2022] SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation☆47Updated 3 years ago
- ☆43Updated last year
- The official implementation for "Spherical Transformer for LiDAR-based 3D Recognition" (CVPR 2023).☆359Updated 2 years ago
- Adaptive Graph Convolution for Point Cloud Analysis☆124Updated 4 years ago
- Instance Segmentation in 3D Scenes using Semantic Superpoint Tree Networks☆111Updated 3 years ago
- [CVPR2023] Official implementation of “PiMAE: Point cloud and Image Interactive Masked Autoencoders for 3D Object Detecion”☆140Updated 11 months ago
- A fast and memory-efficient libarary for sparse transformer with varying token numbers (e.g., 3D point cloud).☆172Updated 2 years ago
- Official implementation of our TIV'23 paper: Occupancy-MAE: Self-supervised Pre-training Large-scale LiDAR Point Clouds with Masked Occu…☆278Updated last year