chrockey / benchmark_sparseLinks
Benchmarking various sparse convolution libraries: MinkowskiEngine, SpConv, TorchSparse, and Open3D.
☆14Updated 2 years ago
Alternatives and similar repositories for benchmark_sparse
Users that are interested in benchmark_sparse are comparing it to the libraries listed below
Sorting:
- [ECCV 2022] Official pytorch implementation of the paper, "PointMixer: MLP-Mixer for Point Cloud Understanding"☆112Updated 2 years ago
- Official Pytorch implementation of the ECCV 2022 paper "GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segme…☆45Updated 3 years ago
- [ICCV 2021] Deep Hough Voting for Robust Global Registration☆64Updated 3 years ago
- The codes for ECCV'22: Resolution-free Point Cloud Sampling Network with Data Distillation☆18Updated 2 years ago
- (NeurIPS 2024) LiT: Unifying LiDAR "Languages" with LiDAR Translator☆24Updated last year
- [ECCV 2022] Dynamic 3D Scene Analysis by Point Cloud Accumulation☆139Updated 11 months ago
- [CVPR'23] FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer☆142Updated 2 years ago
- [ICCV 2021] Deep Hough Voting for Robust Global Registration☆15Updated 4 years ago
- Self-Supervised Correspondence and Optimization-Based Scene Flow (CVPR 2023)☆66Updated 2 years ago
- Instance Segmentation in 3D Scenes using Semantic Superpoint Tree Networks☆112Updated 3 years ago
- Neural Scene Flow Prior (NeurIPS 2021 spotlight)☆138Updated 2 years ago
- [CVPR 2021, Oral] "Weakly Supervised Learning of Rigid 3D Scene Flow"☆140Updated 3 years ago
- A fast and memory-efficient libarary for sparse transformer with varying token numbers (e.g., 3D point cloud).☆171Updated 2 years ago
- [ECCV 2022] Masked Discrimination for Self-Supervised Learning on Point Clouds☆95Updated 3 years ago
- Code, dataset and models for our CVPR 2022 publication "Text2Pos"☆53Updated 3 years ago
- Official implementation of "Learning to Generate Realistic LiDAR Point Clouds" (ECCV 2022)☆151Updated 3 years ago
- Official PyTorch implementation of the ICCV23 paper "Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic Segmentati…☆15Updated 2 years ago
- This is the official code repository for OccuSeg, a state-of-the-art method for accurate joint 3D semantic and instance segmentation.☆24Updated 3 years ago
- Codes for ECCV2022 paper "What matters in supervised 3D scene flow"☆43Updated 3 years ago
- FLOT: Scene Flow Estimation by Learned Optimal Transport on Point Clouds☆106Updated 8 months ago
- [NeurIPS 2022] 4D Unsupervised Object Discovery☆56Updated 2 years ago
- Sparse2Dense: Learning to Densify 3D Features for 3D Object Detection (NeurIPS 2022)☆80Updated 2 years ago
- MINSU3D: MinkowskiEngine-powered Scene Understanding in 3D☆43Updated 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
- Official implementation of Image2Point.☆127Updated 3 years ago
- Official implementation for [3DV 2024] `Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud Understanding`☆48Updated last year
- Fast Neural Scene Flow (ICCV 2023)☆77Updated 2 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…☆67Updated 2 years ago
- (CVPR 2023) MarS3D: A Plug-and-Play Motion-Aware Model for Semantic Segmentation on Multi-Scan 3D Point Clouds☆68Updated 2 years ago
- ☆19Updated 4 years ago