guochengqian / ASSANetLinks
[NeurIPS'21 Spotlight] ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning
☆35Updated 2 years ago
Alternatives and similar repositories for ASSANet
Users that are interested in ASSANet are comparing it to the libraries listed below
Sorting:
- Adaptive Graph Convolution for Point Cloud Analysis☆120Updated 3 years ago
- Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud. (AAAI2021)☆69Updated 6 months ago
- Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion (CVPR 2021)☆109Updated 4 years ago
- [ICCV 2021] Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis☆184Updated 4 months ago
- The source code of PRA-Net.☆26Updated 3 years ago
- PVT: Point-Voxel Transformer for 3D Deep Learning☆93Updated 3 years ago
- (ICCV 2021) Learning Inner-group Relations on Point Clouds☆19Updated 3 years ago
- [CVPR2021] SCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud Segmentation☆83Updated 2 years ago
- PointLIE: Locally Invertible Embedding for Point Cloud Sampling and Recovery (IJCAI 2021)☆18Updated 4 years ago
- ☆28Updated 9 months ago
- Contrastive Boundary Learning for Point Cloud Segmentation (CVPR2022)☆154Updated last year
- Geometry Sharing Network for 3D Point Cloud Classification and Segmentation☆51Updated 5 years ago
- Geometric Back-projection Network for Point Cloud Classification (IEEE Transactions on Multimedia, TMM 2021)☆53Updated 3 years ago
- Implementation of ECCV2020 paper - JSENet: Joint Semantic Segmentation and Edge Detection Network for 3D Point Clouds☆128Updated 4 years ago
- PointNet++ Semantic Segmentation on ScanNet in PyTorch with CUDA acceleration☆143Updated last year
- Boundary-Aware Geometric Encoding for Semantic Segmentation of Point Clouds (AAAI2021)☆40Updated 4 years ago
- Official Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"☆160Updated 7 months ago
- Linked Dynamic Graph CNN: Learning through Point Cloud by Linking Hierarchical Features☆79Updated 3 years ago
- ☆125Updated last year
- Convolution in the Cloud: Learning Deformable Kernels in 3D Graph Convolution Networks for Point Cloud Analysis☆130Updated last year
- PyTorch Implementation of "diffConv: Analyzing Irregular Point Clouds with an Irregular View" (ECCV'22)☆31Updated last year
- (CVPR 2021) PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds☆302Updated last year
- ☆47Updated 5 years ago
- Progressive Point Cloud Deconvolution Generation Network (PDGN)☆28Updated 3 years ago
- Multi-Path Region Mining For Weakly Supervised 3D Semantic Segmentation on Point Clouds☆49Updated 4 years ago
- Cascaded Refinement Network for Point Cloud Completion (CVPR 2020)☆25Updated 3 years ago
- ☆50Updated 4 years ago
- PyTorch reimplementation for "KPConv: Flexible and Deformable Convolution for Point Clouds" https://arxiv.org/abs/1904.08889☆67Updated 5 years ago
- https://arxiv.org/abs/2104.02246 One Thing One Click (CVPR 2021) https://arxiv.org/abs/2303.14727 One Thing One Click++ (Arxiv)☆58Updated 2 years ago
- [TIP 2022] SegGroup: Seg-level Supervision for 3D Instance and Semantic Segmentation☆48Updated 2 years ago