mit-han-lab / pvcnn
[NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning
☆651Updated 2 years ago
Alternatives and similar repositories for pvcnn:
Users that are interested in pvcnn are comparing it to the libraries listed below
- Kernel Point Convolutions☆732Updated 4 years ago
- Kernel Point Convolution implemented in PyTorch☆811Updated 2 months ago
- A faster implementation of PointNet++ based on PyTorch.☆491Updated last year
- [ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution☆593Updated 7 months ago
- Relation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist)☆419Updated 3 years ago
- ☆498Updated 5 years ago
- Point Transformers☆668Updated 11 months ago
- Differentiable Point Cloud Sampling (CVPR 2020 Oral)☆376Updated last year
- PyTorch implementation of RandLA-Net☆358Updated 3 years ago
- PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation☆401Updated 7 months ago
- pytorch version of PointConv☆284Updated 4 years ago
- This is an unofficial implementation of the Point Transformer paper.☆542Updated 2 years ago
- Semantic3D segmentation with Open3D and PointNet++☆530Updated 7 months ago
- Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs☆767Updated last year
- PyTorch implementation of Pointnet2/Pointnet++☆1,586Updated last year
- Pytorch implementation of PCT: Point Cloud Transformer☆362Updated 3 years ago
- Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)☆874Updated last year
- This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).☆762Updated this week
- [NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies☆846Updated last year
- A PyTorch implemetation of PointCNN (CS294-131 Course Proj)☆220Updated 6 years ago
- Code for PCN: Point Completion Network in 3DV'18 (Oral)☆444Updated last year
- Pytorch framework for doing deep learning on point clouds.☆230Updated 3 years ago
- 🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey☆1,599Updated 3 years ago
- Autoencoder for Point Clouds☆430Updated last year
- A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)☆740Updated 2 years ago
- PyTorch implementation of "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593☆260Updated last year
- 🔥3D-BoNet in Tensorflow (NeurIPS 2019, Spotlight)☆393Updated 4 years ago
- 4D Spatio-Temporal Semantic Segmentation on a 3D video (a sequence of 3D scans)☆296Updated 2 years ago
- Morphing and Sampling Network for Dense Point Cloud Completion (AAAI2020)☆423Updated 2 years ago
- ☆460Updated 5 years ago