HimangiM / Just-Go-with-the-Flow-Self-Supervised-Scene-Flow-Estimation
Self-supervised method for scene-flow estimation of LiDAR point clouds. Method is trained and tested on the nuScenes and KITTI datasets in TensorFlow. (CVPR 2020)
☆64Updated 2 years ago
Alternatives and similar repositories for Just-Go-with-the-Flow-Self-Supervised-Scene-Flow-Estimation:
Users that are interested in Just-Go-with-the-Flow-Self-Supervised-Scene-Flow-Estimation are comparing it to the libraries listed below
- [CVPR 2021, Oral] "Weakly Supervised Learning of Rigid 3D Scene Flow"☆138Updated 2 years ago
- The pytorch implementation of flownet3d: https://github.com/xingyul/flownet3d☆77Updated 3 years ago
- PointPWC-Net is a deep coarse-to-fine network designed for 3D scene flow estimation from 3D point clouds.☆148Updated 4 years ago
- Neural Scene Flow Prior (NeurIPS 2021 spotlight)☆129Updated 2 years ago
- FLOT: Scene Flow Estimation by Learned Optimal Transport on Point Clouds☆102Updated 4 years ago
- [ECCV 2022] Dynamic 3D Scene Analysis by Point Cloud Accumulation☆129Updated 2 months ago
- Code for our CVPR 2019 paper, HPLFlowNet: Hierarchical Permutohedral Lattice FlowNet for Scene Flow Estimation on Large-scale Point Cloud…☆107Updated 4 years ago
- [CVPR 2021] PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds☆79Updated last year
- Codes for ECCV2022 paper "What matters in supervised 3D scene flow"☆43Updated 2 years ago
- This is the code related to "Deformation and Correspondence Aware Unsupervised Synthetic-to-Real Scene Flow Estimation for Point Clouds" …☆37Updated 2 years ago
- 4D Panoptic Lidar Segmentation☆154Updated 7 months ago
- Implementation of the FastFlow3D architecture for scene flow estimation from LiDAR point clouds in PyTorch using PyTorch Lightning.☆35Updated 2 years ago
- PyTorch code for training EfficientLPS for LiDAR panoptic segmentation. https://rl.uni-freiburg.de/research/lidar-panoptic☆95Updated last year
- Source code for the paper "FESTA: Flow Estimation via Spatial-Temporal Attention for Scene Point Clouds"☆18Updated 3 years ago
- [CVPR 2021 Oral] Self-supervised Geometric Perception☆161Updated 3 years ago
- LMSCNet: Lightweight Multiscale 3D Semantic Completion. Roldão, L., de Charette, R., & Verroust-Blondet, A. International Conference on 3…☆83Updated 2 years ago
- ☆27Updated 3 years ago
- Semantic Scene Completion☆105Updated 4 years ago
- Self-Supervised Correspondence and Optimization-Based Scene Flow (CVPR 2023)☆61Updated last year
- ☆18Updated 3 years ago
- ☆5Updated 2 years ago
- Predicting Depth Completion Error-Map For High-Confidence Dense 3D Point-Cloud☆34Updated 4 years ago
- MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences (ICCV 2019 Oral)☆150Updated 3 years ago
- Implement some state-of-the-art methods of Semantic Scene Completion (SSC) task in PyTorch. [1] 3D Sketch-aware Se…☆63Updated 2 years ago
- ☆67Updated 3 years ago
- ☆71Updated 3 years ago
- Part-Aware Data Augmentation for 3D Object Detection in Point Cloud (IROS 2021)☆81Updated 2 years ago
- Code for LIGA-Stereo Detector, ICCV'21☆93Updated 3 years ago
- Code for CVPR 2021 Submission of our paper 'Depth Completion with Twin Surface Extrapolation at Occlusion Boundaries'☆48Updated 3 years ago
- Implementation for Panoptic-PolarNet (CVPR 2021)☆173Updated 4 years ago