VinAIResearch / ISBNet
ISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware Sampling and Box-aware Dynamic Convolution (CVPR 2023)
β132Updated 3 months ago
Alternatives and similar repositories for ISBNet:
Users that are interested in ISBNet are comparing it to the libraries listed below
- Official implementation of "Spherical Mask: Coarse-to-Fine 3D Point Cloud Instance Segmentation with Spherical Representation"β61Updated 9 months ago
- β137Updated 2 years ago
- π₯GrowSP in PyTorch (CVPR 2023)β170Updated last year
- [ICCV2023] Divide and Conquer: 3D Point Cloud Instance Segmentation With Point-Wise Binarizationβ30Updated 2 months ago
- [CVPR2024] OneFormer3D: One Transformer for Unified Point Cloud Segmentationβ394Updated 3 months ago
- A more easy-to-use implementation of KPConvβ76Updated 2 years ago
- (TPAMI2023) Unsupervised Point Cloud Representation Learning with Deep Neural Networks: A Surveyβ206Updated last year
- Contrastive Boundary Learning for Point Cloud Segmentation (CVPR2022)β146Updated last year
- Official PyTorch implementation of DeLAβ52Updated 7 months ago
- Official repository for paper "Attention-based Point Cloud Edge Sampling" (APES), Highlight@CVPR 2023β103Updated 7 months ago
- [NeurIPS'22] An official PyTorch implementation of PTv2.β377Updated last year
- [WACV'24] TD3D: Top-Down Beats Bottom-Up in 3D Instance Segmentationβ141Updated last year
- ProxyFormer (CVPR 2023)β95Updated last year
- Hierarchical Aggregation for 3D Instance Segmentation (ICCV 2021)β170Updated 2 years ago
- β78Updated 2 years ago
- (TPAMI 2023) Snowflake Point Deconvolution for Point Cloud Completion and Generation with Skip-Transformerβ164Updated 6 months ago
- [CVPR 2022 Oral] SoftGroup for Instance Segmentation on 3D Point Cloudsβ368Updated last year
- This is a PyTorch implementation of PointMetaBase proposed by our paper "Meta Architecure for Point Cloud Analysis"β91Updated last year
- Rotation-Invariant Transformer for Point Cloud Matchingβ120Updated last year
- OpenPoints: a library for easily reproducing point-based methods for point cloud understanding. The engine for [PointNeXt](https://arxiv.β¦β324Updated 6 months ago
- SQN in Tensorflow (ECCV'2022)β105Updated last year
- Stratified Transformer for 3D Point Cloud Segmentation (CVPR 2022)β386Updated 2 years ago
- Code for the paper "PointAttN: You Only Need Attention for Point Cloud Completion"β98Updated 10 months ago
- Pytorch framework for doing deep learning on point clouds.β229Updated 3 years ago
- Official pytorch implementation of "Self-positioning Point-based Transformer for Point Cloud Understanding" (CVPR 2023).β101Updated 2 months ago
- [ICIP2023] TR3D: Towards Real-Time Indoor 3D Object Detectionβ165Updated last year
- [CVPR'22 Best Paper Finalist] Official PyTorch implementation of the method presented in "Learning Multi-View Aggregation In the Wild forβ¦β228Updated 6 months ago
- PVT: Point-Voxel Transformer for 3D Deep Learningβ93Updated 2 years ago
- Mix3D: Out-of-Context Data Augmentation for 3D Scenes (3DV 2021 Oral)β235Updated 2 years ago
- CRA-PCN: Point Cloud Completion with Intra- and Inter-level Cross-Resolution Transformersβ48Updated 5 months ago